Remote Germany
Europace ist Deutschlands größte Transaktionsplattform für Immobilienfinanzierungen Bausparprodukte und Ratenkredite. Mit der Ausgründung des Ratenkreditgeschäfts in die Europace Ratenkredit GmbH im November 2024 hat Hypoport einen strategischen Schwerpunkt auf das Geschäftsmodell Ratenkredit gesetzt mit dem Ziel die innovativste und wirtschaftlich erfolgreichste Ratenkreditplattform zu bauen die zum unverzichtbaren Standard für Partner in ganz Deutschland wird. Die Europace Ratenkredit GmbH ist eine Tochtergesellschaft der Hypoport SE die an der Deutschen Börse im Prime Standard gelistet ist. Seit 2015 wird Hypoport durchgängig im Auswahlindex SDAX oder MDAX geführt. Die Europace Ratenkredit GmbH ist holakratisch organisiert. Als Data Engineer (w/m/d) bist du die erste dedizierte Data-Engineering-Rolle in unserem Team. Für Sparring steht dir eine Data Community mit unserer Schwesterfirma zur Verfügung. Du arbeitest auf einer bestehenden Datenplattform innerhalb des Hypoport-Netzwerks und übernimmst die Verantwortung für den Aufbau und die Weiterentwicklung unserer domänenspezifischen Datenbasis im Ratenkreditgeschäft. Du kannst von einem unserer Standorte in Berlin Leipzig Lübeck oder Hamburg oder deutschlandweit zu 100% remote arbeiten. Wie sehen deine Aufgaben bei uns aus? Du entwickelst eine robuste Datenbasis Du baust skalierbare Datenpipelines und modellierst verlässliche Datenstrukturen (z. B. mit dbt) die unser gesamtes Unternehmen mit den Daten versorgen die für Entscheidungen notwendig sind. Dabei führst du Daten aus unterschiedlichen Quellen zusammen erkennst Abhängigkeiten und sorgst für saubere wartbare Modelle. Du machst Daten nutzbar Du bereitest Daten so auf dass sie für Reporting Analytics und KI-Anwendungen direkt verwendbar sind. Du denkst dabei konsequent in wiederverwendbaren zuverlässigen Datenprodukten statt in einzelnen Tabellen oder Pipelines. Du berücksichtigst KI-Nutzung Datenschutz und Compliance Du stellst sicher dass Daten so strukturiert und bereitgestellt werden dass sie für KI- und Automatisierungs-Use-Cases nutzbar sind. Dabei achtest du konsequent auf Datenschutz (z. B. DSGVO) sensible Finanzdaten und sicheren Datenzugriff. Du arbeitest cross-funktional Du erkennst technische Abhängigkeiten früh arbeitest eng mit Produkt Engineering Data Analysts und Data Scientists zusammen und übersetzt Anforderungen in skalierbare Datenlösungen. Dabei bringst du dich aktiv in die teamübergreifende Zusammenarbeit ein. Du übernimmst Ownership Du verantwortest deine Datenprodukte End-to-End – von der Modellierung über die Umsetzung bis zum stabilen Betrieb. Du priorisierst eigenständig und treibst Themen auch dann voran wenn übergreifende Abstimmungen notwendig sind. Was erwarten wir von dir? Erfahrung & Seniorität Du hast mehrere Jahre Erfahrung im Aufbau und Betrieb von Datenpipelines Datenmodellen oder Analytics-Engineering-Lösungen in produktiven Umgebungen. Technisches Fundament Du hast praktische Erfahrung mit SQL Python sowie Tools wie dbt und Airflow und kennst typische Herausforderungen rund um Transformation Orchestrierung und Testing. Erfahrung mit gewachsenen Plattformen Du hast bereits in bestehenden Systemlandschaften gearbeitet und kannst pragmatisch mit fachlichen technischen und organisatorischen Abhängigkeiten umgehen. Domänenverständnis Du kannst dich in komplexe Prozesse im Ratenkreditgeschäft einarbeiten und fachliche Anforderungen in saubere nutzbare Datenmodelle für Analyse Reporting und Weiterverarbeitung übersetzen. Datenqualität & Verlässlichkeit Du hast Erfahrung mit Tests Monitoring Plausibilitätsprüfungen oder anderen Mechanismen zur Sicherstellung konsistenter und belastbarer Daten. Verständnis für KI-/Automatisierungs-Use-Cases Du verstehst welche Anforderungen KI- oder Automatisierungsanwendungen an Datenqualität Struktur und Verfügbarkeit stellen. Datenschutz & Verantwortung Idealerweise hast du Erfahrung mit Datenschutz (z. B. DSGVO) Berechtigungskonzepten und dem verantwortungsvollen Umgang mit sensiblen Daten im regulierten Umfeld. Data-Product-Mindset Du denkst Daten nicht nur technisch sondern aus Sicht ihrer Nutzung im Unternehmen konsistent verständlich wiederverwendbar und zuverlässig für unterschiedliche Teams und Anwendungen. Sprachkenntnisse Du bringst Deutschkenntnise auf mind. C1 Niveau in Wort und Schrift mit. Was bieten wir dir Work-Life-Balance Wir bieten flexible Arbeitszeiten um berufliche und private Verpflichtungen optimal zu vereinbaren. Full Remote Ob im Office oder Full Remote beides ist bei uns kein Problem. Selbstorganisation Bei uns gibt es keine klassischen Hierarchien wir setzen auf Holakratie. Crossfunktional Business Analysteninnen Entwicklerinnen UX-Designerinnen und Key-Account Managerinnen arbeiten auf Augenhöhe daran den Ratenkredit zu vereinfachen. Teamplay Echtes Miteinander im Team mit freundlichen Kolleginnen. Respekt Gegenseitiger Respekt und Wertschätzung sowie ein hohes Maß an sozialer Kompetenz. Agile Viele reden von Agile bei uns ist es ein fester Bestandteil unserer Arbeit. Modernes Bürogebäude im Herzen Berlins Moderne Hardware ergonomische Büroeinrichtung Fitnessbereich kostenlose Getränke Obst und Snacks. No Dresscode Come as you are! Wie geht es weiter Wir möchten mehr über dich erfahren und freuen uns auf deine Bewerbung! Ganz entspannt über unsere Webseite wo du keine langen Formulare ausfüllen musst. Einfach die Dokumente hochladen und fertig. Eine Idee davon wie wir bei Hypoport arbeiten bekommst du auf unserem Karriere-Blog. Bei Fragen wende dich gern an Lara Talent Acquisition Partnerin für das Hypoport Netzwerk Hypoport SE Europace Ratenkredit
Remote France
About Us sunday is building the fastest simplest way to pay in restaurants. With a quick scan of a QR code diners can pay tip and leave in about 10 seconds. We believe great products should feel obvious not complicated and we focus relentlessly on keeping things simple while earning trust from restaurants and guests at every interaction. Today sunday powers payments in thousands of restaurants across the US UK and France helping operators turn tables faster increase tips and unlock valuable insights. We push ourselves to go beyond what’s expected building with ownership moving fast and scaling with ambition as we tackle our biggest growth opportunity in the US. About the Role We’re looking for a Staff Data Software Engineer to help us shape the future of data at sunday. Our data platform is the foundation of decision-making across the company from operational insights to product analytics and machine learning. You will be at the center of that ecosystem working on a modern stack (Airbyte Dagster DBT BigQuery Metabase Amplitude) organized around a medallion architecture (bronze silver & gold layers). Your mission help us elevate our data platform scale our pipelines and bring our data practices to the next level. This is not only a technical leadership role it’s also a business-driven one. You’ll work hand-in-hand with software engineers data engineers analytics engineers product analysts and data analysts to turn raw data into high-quality trusted insights that power decisions and innovation. Join early grow fast and shape the journey! Key Responsibilities Architect and evolve the data platform to ensure scalability performance and maintainability across ingestion transformation and consumption layers. Design and build our next generation data pipeline enabling reactive data streaming scenarios. Lead and mentor data engineers and analytics engineers in building reliable reusable and well-tested data pipelines. Drive quality and governance across our medallion architecture (bronze silver gold) ensuring clear ownership and strong data lineage. Collaborate cross-functionally with product data and business teams to align data models and metrics with key company goals. Shape best practices in orchestration (Dagster) modeling (DBT) and data ingestion (Airbyte & Federated Queries). Promote a modern data culture from observability and CI/CD for data to documentation and schema versioning. Participate in data architecture forums and document decisions through ADRs. Unlock new product use cases by bringing different perspectives on our current architecture. Deliver data as a core product value for the company About You You are a data engineer who cares about business impact as much as technical excellence. You understand how reliable well-designed data foundations can make products smarter decisions clearer and teams more effective. You Take ownership end-to-end from understanding the business need to building shipping and operating the solution. Bring clarity and structure to complex or ambiguous data environments. Connect technical decisions to business outcomes and product performance. Work collaboratively and pragmatically across technical and non-technical teams. Raise the bar through coaching thoughtful feedback and strong engineering practices. Share and champion best practices around reliability scalability testing and observability. Balance speed and quality and know when to simplify challenge the status quo or invest for the long term. Communicate clearly and create alignment around technical direction and priorities. You don’t need to be an expert in everything but the more of these boxes you tick the better Fluent with medallion architectures or layered modeling approaches. Strong experience with data lineage and documentation tools (e.g. dbt docs OpenMetadata DataHub). Awareness of data security governance and compliance concerns (especially in a PCI DSS context). Knowledge of event-based and near real-time analytics (Amplitude product analytics stacks). Comfort with CI/CD for data testing frameworks (dbt tests Great Expectations) and version control (Git). What We Offer A competitive salary + Stock Options A great office in the heart of Paris (10th arrondissement) with a balance of in-person and remote work Free Vacation Policy 100% Employer-Covered Health Insurance for you and your children Ticket Restaurant 50% of your public transportation covered Steps in our Recruitment Process Share your story Application with resume Let's get to know each other through a phone screen interview Meet with the hiring manager Impress your future colleagues with a case study Meet with a Leader Reference Checks (3 most recent managers) Offer we want you Thank you for taking the time to apply and looking forward to getting to know you! sunday is an equal opportunity employer and does not discriminate and all qualified applicants will receive consideration for employment without regard to race creed color sex affectional or sexual orientation gender identity or expression gender ethnicity religion national origin ancestry nationality age disability marital status veteran status genetic information or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification).
Remote United States
The Role As a Senior Data Engineer (B2B) you will own the development maintenance and evolution of data pipelines supporting Wpromote’s B2B clients and capabilities. You will work across client teams Data Engineering and Product to translate complex B2B marketing and business requirements into reliable scalable data solutions. This role will spend approximately 75–85% of its time supporting B2B client data needs with the remaining time focused on improving and standardizing our broader B2B data capabilities. You will own B2B data pipelines end-to-end including implementing approved modifications to downstream pipelines and data models when necessary to meet client requirements. This role also owns the data layer for measurement and scoring programs. Measurement methodology and analysis design are owned by strategy and analytics partners with this role building the datasets pipelines and validation tooling that support them. You will be expected to understand how changes flow through the broader data ecosystem evaluate their impact and implement solutions that preserve data quality and maintainability. As you identify common requirements across B2B clients you will help turn those patterns into standardized models reusable components and scalable B2B data capabilities that reduce repeated custom development. At Wpromote we believe that great work is only possible with great people. Our goal is to build a better more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing. We offer -Remote-first culture -Unlimited PTO -Extended Holiday break (Winter) -Flexible schedules -100% paid parental leave -401(k) matching -Medical Dental Vision Life Pet Insurance -Sponsored life insurance -Short Term Disability insurance and additional voluntary insurance -Annual Class Pass credits and more! The anticipated annual salary for this role will range from $105000-$135000 based on consideration of a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education and certifications competitive benchmarks scope of responsibility market dynamics geographic location and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above). This position may be performed remotely in most states within the US with some exclusions While this role offers the flexibility to work remotely we have office hubs in Los Angeles Chicago and New York where you can join in on learning and development opportunities fun events take advantage of a space to work and collaborate in person! This position is not eligible for immigration sponsorship Important Notice Beware of Job Scams Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. LI-JJ LI-Remote ➡ You Will Be ➡ Owning the design development deployment and ongoing support of data pipelines for Wpromote’s B2B clients using BigQuery dbt Python and orchestration frameworks. Partnering with client teams and technical stakeholders to translate B2B marketing sales measurement and reporting requirements into reliable data solutions. Managing client-specific requirements throughout the data lifecycle including making approved modifications to downstream pipelines transformations and data models when required. Integrating and normalizing data across the B2B technology ecosystem including CRM marketing automation ABM and intent attribution enrichment sales engagement paid media web analytics and first-party product usage and telemetry data. Building data models that connect anonymous and known engagement leads contacts accounts campaigns opportunities marketing touchpoints and sales activity to support account-level measurement from initial engagement through pipeline and revenue. Understanding upstream and downstream dependencies troubleshooting complex production issues and ensuring changes maintain data quality reliability and scalability. Strengthening data quality through automated testing validation reconciliation monitoring and observability. Identifying recurring requirements across B2B clients and converting them into reusable models frameworks and configuration-driven solutions. Contributing to Wpromote’s standard B2B data architecture including common approaches to account resolution lifecycle stages funnel definitions and marketing-to-revenue measurement while maintaining flexibility for client-specific requirements. Using AI-assisted development tools to accelerate development debugging testing documentation and codebase exploration while maintaining accountability for production code. Building activation pipelines that push data back out to operational systems including syncing account segments scores and lifecycle stages to ad platforms writing enriched data and tasks back to CRM and keeping platform audiences current with warehouse state. Investigating and validating the behavior of third-party and vendor data feeds including delivery cadence restatement retention and schema semantics and designing pipelines that remain correct when feeds behave differently than documented. Building analytical datasets that support scoring model calibration and validation such as regression inputs from CRM history holdout construction lift analysis and feedback loops from sales dispositioning. You Must Have ➡ Bachelor’s degree in Computer Science Information Technology Engineering or a related field or equivalent practical experience. 5+ years of experience in data engineering analytics engineering or a related field with experience independently owning production data pipelines and data models. Advanced proficiency in SQL and BigQuery along with intermediate to advanced programming skills in Python. Strong experience with dbt or an equivalent transformation and orchestration framework including data modeling testing documentation and reusable development patterns. Strong understanding of data warehousing dimensional modeling data transformation and data quality principles. Hands-on data engineering or analytics experience with CRM and at least two other areas of the B2B technology ecosystem such as marketing automation ABM/intent attribution or paid media platforms. Strong understanding of B2B data models and customer journeys including lead/contact-to-account relationships lifecycle and funnel stages opportunity and pipeline data campaign membership marketing touchpoints and the challenges of connecting marketing activity to revenue. Experience integrating data across multiple B2B systems and reconciling differences in identifiers entities lifecycle definitions business processes and data structures. Strong problem-solving and communication skills including the ability to navigate ambiguous client requirements evaluate technical tradeoffs and communicate solutions to technical and non-technical stakeholders. Experience within an advertising agency consulting organization or other multi-client environment. Experience with lead-to-account matching and identity resolution including reconciling person-level and account-level data across systems. Experience reconstructing historical state from CRM and marketing data such as lifecycle and opportunity stage history snapshot-based feeds and changes in account ownership or campaign membership over time. Nice to Have ➡ Experience with platforms across the B2B ecosystem including CRM & Sales Salesforce Sales Cloud HubSpot Marketing Automation Marketo Pardot (Marketing Cloud Account Engagement) Eloqua ABM & Intent 6sense Demandbase B2B Measurement & Attribution Octane11 Adobe Marketo Measure (formerly Bizible) Data Enrichment & Prospecting ZoomInfo Sales & Conversational Engagement Salesloft Qualified Drift Content & Buyer Engagement PathFactory Experience with multi-touch attribution and sourced/influenced pipeline measurement including per-opportunity attribution models and credit window logic. Experience building B2B measurement models that connect marketing activity and media investment to account engagement opportunities pipeline and revenue. Experience working with historical CRM and marketing data including changes in lifecycle status opportunity stages campaign membership account ownership and other business events over time. Experience building reusable or configuration-driven data pipelines that support multiple clients while allowing controlled client-specific customization. Experience with data observability lineage metadata management or data quality platforms. Familiarity with orchestration technologies such as Airflow Dagster AWS Glue or Azure Data Factory along with modern software engineering practices including Git code review CI/CD and testing. Experience with audience syndication and reverse ETL patterns including platform audience APIs (DSP LinkedIn Meta) or tools such as Hightouch or Census. Experience managing BigQuery cost and performance across multiple clients including partitioning clustering and query cost discipline. Hands-on experience using AI-assisted software engineering tools such as Claude Code OpenAI Codex OpenCode Cursor GitHub Copilot or similar tools with the engineering judgment to review test and validate AI-generated solutions. What Success Looks Like ➡ Success in this role will center around three areas Client Ownership You will become a trusted technical owner for Wpromote’s B2B data pipelines independently translating complex client requirements into reliable solutions and confidently managing changes across upstream and downstream systems. Quality You will improve the reliability of our B2B data through stronger testing validation monitoring documentation and observability while proactively identifying and addressing recurring data issues. Scale You will recognize common patterns across B2B clients and help turn them into standardized reusable capabilities reducing repeated custom development while preserving the flexibility needed to support meaningful client-specific requirements. ➡ Wpromote is committed to bringing together individuals from different backgrounds and perspectives providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive feel a sense of belonging and do impactful work together. As an equal opportunity employer we prohibit any unlawful discrimination against a job applicant on the basis of their race color religion gender gender identity gender expression sexual orientation national origin family or parental status disability age veteran status or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify or if you believe that your employer has violated its E-Verify responsibilities please contact DHS.
Remote Canada
Job Title Data & AI Solution Architect – Data Modelling & Conversational AI Location 1 Canada 1 India About the Role We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for a modern data platform. Working within the Enterprise Architecture team you will design enterprise data modelling and conversational AI architectures that enable trusted data and AI analytics across the organization. The primary focus will be on reusable data modelling standards solution architecture patterns semantic engineering frameworks and conversational AI capabilities using Databricks. You will guide delivery teams in adopting enterprise architecture standards and best practices to deliver trusted governed and scalable data products. You will also translate enterprise architecture standards into solution designs reusable patterns and technical guidance for HUB & SPOKE teams. What You'll Do Design solution architectures for modern data and AI platforms on Databricks. Define and promote enterprise standards for data products data modelling Medallion Architecture dbt Unity Catalog and data engineering. Create reusable architecture patterns reference designs and implementation guidance for HUB & SPOKE teams. Design semantic models and architecture patterns that enable trusted analytics and conversational AI capabilities. Support the development of scalable governed and reusable data products aligned with enterprise standards. Lead architecture reviews solution design workshops office hours and technical coaching sessions. Partner with data engineering analytics AI and enterprise architecture teams to define scalable solutions. Establish data modelling and semantic engineering frameworks to support self-service analytics. Provide technical guidance on modern data platform architecture governance and best practices. Support teams in adopting Databricks-based solutions and enterprise architecture standards. Qualifications 8+ years of experience in enterprise solution architecture or modern cloud data platforms. Strong hands-on experience with Databricks dbt Unity Catalog SQL and Python. Deep understanding of dimensional modelling semantic modelling Medallion Architecture and data product design. Experience designing enterprise data architectures and reusable solution patterns. Strong knowledge of modern data engineering and analytics architectures. Experience designing trusted governed scalable and self-service data platforms. Knowledge of semantic layers and architectures supporting conversational AI and AI-driven analytics. Ability to translate business and enterprise architecture requirements into practical technical designs. Experience leading architecture reviews design workshops and technical discussions. Strong communication and stakeholder management skills with the ability to guide cross-functional delivery teams. Ability to work independently and provide technical leadership across multiple teams and initiatives Pay $50.00-$55.00 per hour Work Location Remote
Remote Canada
About SH/FT Shift Paradigm is an execution-led strategic consultancy that bridges the gap between enterprise strategy and technical reality. We partner with Fortune 500 brands and emerging leaders to solve the inherent complexity of modern digital marketing. As partners to the world’s leading MarTech platforms including Adobe Salesforce Optimizely and Braze we deploy integrated experts across data analytics marketing strategy technology development engineering and revenue operations to ensure our clients’ tech stacks don't just exist but perform. The Role We are seeking a forward-thinking consultative Data & Analytics Engineer to design build and maintain enterprise marketing data models ontologies and semantic context layers. In this role you will act as a strategic bridge between business leaders and technical execution—partnering directly with clients to understand their strategic goals and translating those business requirements into scalable warehouse-native data infrastructure. Beyond core data engineering you will spearhead how our clients' data ecosystems adapt to an evolving agentic future. You will architect the semantic models and data integration patterns required to power autonomous AI agents both native to modern cloud data platforms (such as Databricks and Snowflake) and across connected MarTech platforms (such as Salesforce Hightouch). What You'll Accomplish Consultative Requirements & Architecture Partner with key business stakeholders to uncover core business goals mapping complex business domain needs into unified data engineering solutions semantic layers and robust warehouse architectures. Agentic & AI Data Readiness Architect forward-looking context layers and semantic models designed specifically for AI/LLM-driven engines and autonomous agents—ensuring data ecosystems (from modern cloud warehouses to activation platforms like Hightouch and Salesforce) are structured for reliable execution. Taxonomy & Metadata Engineering Design scalable data models (e.g. Medallion/Multi-layer architectures) to house controlled classification hierarchies unified asset tags and standardized business glossaries across marketing channels. Identity & Semantic Modeling Build and maintain deterministic and probabilistic identity resolution models and graph-like bridge tables to resolve customer identities across CRM IDs device tokens and digital touchpoints. Cross-System Pipeline Integration Lead the technical integration of complex cross-system datasets developing high-performance ingestion and transformation pipelines to unify marketing metadata CDP activation models DAM content and real-time telemetry. Data Governance & Quality Implement enterprise governance business glossaries access controls and data cataloging (e.g. Unity Catalog Snowflake Horizon) to enable secure self-service analytics and reliable AI execution. What You Bring Experience & Expertise 5+ years of hands-on experience in data engineering analytics engineering or data architecture building production-grade data pipelines and semantic models. 2+ years in a client-facing consultative or strategic lead role—demonstrated ability to run discovery map business goals to technical architectures and present solutions to cross-functional stakeholders. Consultative Mindset Strong ability to navigate ambiguity translate non-technical business strategies into clear technical specifications and articulate technical trade-offs to executives and cross-functional teams. Strategic Vision for AI/Agents A keen interest in the shift toward agentic AI with an understanding of how data modeling semantics and context layers must adapt to support autonomous workflows across data platforms and marketing engines. Cloud Data Platform Expertise Hands-on experience designing production pipelines and semantic data models across modern cloud data platforms with deep expertise in Databricks Snowflake or equivalent architectures. Advanced Data Engineering Skills Proficiency in SQL Python/PySpark data pipeline orchestration and modern data stack tooling (e.g. dbt). Domain & Integration Knowledge Experience with marketing technology (MarTech) Customer Data Platforms (CDPs) reverse ETL tools (e.g. Hightouch Census) and enterprise platforms (e.g. Salesforce Marketing Cloud CRMs). Data Modeling Fundamentals Proven track record in multi-dimensional schema design identity resolution modeling graph/hierarchical structures and API payload parsing (nested JSON/REST). Relevant Certifications (Preferred) Professional Data Engineer / Analytics Engineer certifications in Databricks or Snowflake. Preferred Certifications Databricks Certified Data Engineer Professional or Certified Analytics Engineer. Snowflake SnowPro Core or SnowPro Advanced Architect. dbt dbt Cloud Developer Certification. Mindset Forward-Thinking AI Perspective Active interest and practical awareness of agentic AI concepts (e.g. tool use LLM context retrieval autonomous agent workflows) and how data modeling must evolve to serve them. Remote & Autonomous Ability to manage complex deliverables independently in a distributed fast-paced environment. What We Offer - Competitive compensation aligned with your experience and impact Remote flexibility Collaborative culture that values diverse perspectives and innovative thinking Work that makes a measurable difference for your clients Why SH/FT SH/FT is a consultancy built for transformation. We bridge the gap between marketing data and technology to unlock growth for some of the world's most recognized brands. At SH/FT you'll shape the future of how organizations connect with their customers through intelligent architecture scalable systems and the power of data-driven strategy. Comp & Benefits - The US salary range for this role is $120000 to $140000 USD. Salary is based on several factors including but not limited to skillset relevant education level of experience certifications and scope of responsibilities. In addition to base salary SH/FT offers benefits such as medical dental vision STD/LTD Life/AD&D Flexible Paid Time Off and various other ancillary benefits and perks. We welcome and encourage applications from people with disabilities under the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request for candidates taking part in all aspects of the selection process. Candidates must have current US or Canada work authorization. For US candidates this employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. No relocation assistance can be offered at this time. All inquiries are held in strict confidence. The pay range for this role is 120000 - 140000 USD per year(Remote (United States))
Remote Brazil
We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Primary Skills Snowflake GCP (Datastream CDC) or AWS Nice to have dbt GitHub CI/CD FinOps Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics device financing and real-time operations transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico Colombia Panama and Central America). We build innovative financing solutions—combining credit lines proprietary device-financing technology and advanced analytics—to empower our regional ecosystem. We seek a mature highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance security and FinOps strategic leadership. Your primary strength will be designing building and optimizing production environment architectures in Snowflake alongside GCP core ingestion services (Cloud SQL Datastream CDC Cloud Storage). Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required. As a technical leader you will engage across Product Risk Engineering BI and Regional Leadership forging strong relationships to deliver real business value. Here thoughtful communication and constructive negotiation are as critical as engineering prowess. Responsibilities Architecture & Modernization Lead the architecture end-to-end development and continuous improvement of our multi-country data platform across 8 LATAM operations advocating for modern scalable and secure solutions primarily in Snowflake and Google Cloud Platform (GCP). Pipeline & Ingestion Engineering Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe Streams and Tasks. Semantic Layer & Data Modeling Implement and standardize the core data model (Star Schema Medallion Architecture) using dbt to create an explicit reliable semantic layer for cross-country analytics and BI consumption. Data Operations & CI/CD Establish modern DataOps practices by managing database objects deployments and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines. Governance & Security Architecture Define and enforce multi-country data governance granular RBAC (Role-Based Access Control) dynamic data masking row-level security and strict compliance with local PII / personal data protection laws across all 8 jurisdictions. FinOps & Performance Optimization Actively manage cloud economics by optimizing virtual warehouse sizing clustering keys query execution caching auto-suspend rules and resource monitors to keep Snowflake credit consumption predictable and efficient. Stakeholder Alignment Act as a bridge between technical and non-technical stakeholders translating business goals into robust data pipelines while keeping query execution fast and reliable for Product Risk and Executive teams. Mentorship & Quality Culture Mentor and inspire data engineers introducing software engineering best practices (testing code reviews automated CI/CD) into data workflows and fostering a transparent feedback-rich engineering environment. Requirements Education Bachelor's degree or higher in Computer Science Software Engineering Data Engineering or a related quantitative field. Snowflake Expertise 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 1+ dedicated to Snowflake). Master-level knowledge of virtual warehouses micro-partitioning Streams & Tasks Snowpipe Time Travel Zero-Copy Cloning and Snowpark. Mandatory GCP Cloud Experience Proven practical experience working with Google Cloud Platform (GCP) specifically GCP Cloud Storage Cloud SQL and Datastream (CDC) for raw data ingestion. Semantic Modeling & Software Engineering Tools dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments. Advanced Code & Scripting Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting data processing and custom integrations. Data Security & Governance Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking RBAC policies and regulatory compliance. Stakeholder & Leadership Skills Outstanding technical communication and negotiation skills. Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English. Language Proficiency Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards). Nice to Haves SnowPro Core or SnowPro Advanced Architect certification. Prior experience in the Fintech Banking or Consumer Credit sector dealing with LATAM regulatory environments. Direct experience integrating downstream BI platforms (Power BI Looker Tableau) with Snowflake semantic layers. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers
Remote Brazil
About the role We are looking for a Middle Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake following a medallion architecture across bronze silver and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development. What you will do Design build and operate batch and streaming data pipelines on Databricks using PySpark Delta Lake and Databricks Workflows. Model and maintain a medallion (bronze/silver/gold) architecture serving analytics reporting and machine learning consumers. Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption. Use Claude or Github Copilot as a development accelerator generating code scaffolding writing and reviewing tests creating documentation and prototyping solutions. Write clean well-tested Python and SQL maintain high standards through code review and documentation. Optimize Spark jobs and Delta tables for performance and cost including partitioning clustering caching and cluster sizing. Implement data quality lineage and governance controls using Unity Catalog and automated validation checks. Debug troubleshoot and resolve pipeline failures data defects and production incidents. Collaborate with DevOps platform and analytics engineers on observability security and compliance best practices. Must haves 3+ years of professional experience in data engineering featuring direct expertise with Apache Spark and cloud-based data architectures. Strong hands-on experience building data pipelines with Databricks Apache Spark (PySpark) and Delta Lake. Advanced SQL and Python with strong data modeling skills across dimensional and Lakehouse patterns. Experience with streaming ingestion using Structured Streaming Auto Loader Kafka or Event Hubs. Experience with workflow orchestration (Databricks Workflows Airflow or Azure Data Factory). Experience with legacy platform migrations ETL modernization or managing data hygiene when porting old systems. Strong problem-solving collaboration and communication skills. Familiarity with Unity Catalog data governance access control and PII handling. Experience with dbt or an equivalent transformation framework. Familiarity with secure coding standards and industry security best practices. Experience delivering production data platforms at scale. Upper-intermediate English level. Nice to haves Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure DevOps. Experience working with relational databases (specifically PostgreSQL) and data persistence concepts. Familiarity with logging and monitoring tools (e.g. Dynatrace CloudWatch Databricks system tables). Experience working in Agile or team-based development environments preferred. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote
Remote Brazil
About the role We are looking for an experienced Senior Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake following a medallion architecture across bronze silver and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development. What you will do Design build and operate batch and streaming data pipelines on Databricks using PySpark Delta Lake and Databricks Workflows. Model and maintain a medallion (bronze/silver/gold) architecture serving analytics reporting and machine learning consumers. Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption. Use Claude or Github Copilot as a development accelerator generating code scaffolding writing and reviewing tests creating documentation and prototyping solutions. Write clean well-tested Python and SQL maintain high standards through code review and documentation. Optimize Spark jobs and Delta tables for performance and cost including partitioning clustering caching and cluster sizing. Implement data quality lineage and governance controls using Unity Catalog and automated validation checks. Debug troubleshoot and resolve pipeline failures data defects and production incidents. Participate in Agile or product-centric delivery practices including sprint planning and retrospectives. Collaborate with DevOps platform and analytics engineers on observability security and compliance best practices. Must haves 4+ years of professional experience in data engineering featuring direct expertise with Apache Spark and cloud-based data architectures. Strong hands-on experience building data pipelines with Databricks Apache Spark (PySpark) and Delta Lake. Advanced SQL and Python with strong data modeling skills across dimensional and Lakehouse patterns. Experience with streaming ingestion using Structured Streaming Auto Loader Kafka or Event Hubs. Experience with workflow orchestration (Databricks Workflows Airflow or Azure Data Factory). Experience with legacy platform migrations ETL modernization or managing data hygiene when porting old systems. Strong problem-solving collaboration and communication skills including mentoring junior engineers and explaining data concepts to non-technical stakeholders. Familiarity with Unity Catalog data governance access control and PII handling. Experience with dbt or an equivalent transformation framework. Familiarity with secure coding standards and industry security best practices. Experience delivering production data platforms at scale. Upper-intermediate English level. Nice to haves Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure Devops. Experience working with relational databases (specifically PostgreSQL) and data persistence concepts. Familiarity with logging and monitoring tools (e.g. Dynatrace CloudWatch Databricks system tables). Experience working in Agile or team-based development environments preferred. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote
Fluent in written and spoken Portuguese and English. 30 days’ notice period for termination The candidate can work remotely from any Portuguese region What you will be doing We're looking for a Data Engineer to support and develop a data platform within a large-scale international energy provider. Provide user support for the data platform troubleshooting and fixing issues Support data pipelines and ETL/ELT processes to enable reliable and scalable data flows Collaborate with platform architects to ensure the data platform is efficient secure and highly available Improve data processes monitoring performance and platform efficiency Support data quality frameworks and monitoring to ensure accuracy consistency and completeness of data pipelines Support for data lakes data warehouses and data streaming solutions Work with stakeholders (data scientists analysts business users) to solve issues in the data platform Automate repeatable tasks and improve the data ingestion transformation and delivery processes Troubleshoot and optimize data workflows and SQL queries for performance and cost efficiency Document data platform changes processes and best practices Review evaluate and approve data product releases to production. What we are looking for Experience with data pipelines in a production environment Strong hands-on knowledge of SQL and experience with distributed data processing (e.g. Apache Spark) Proficiency and knowledge of troubleshooting dbt Apache Kafka Apache Ignite Apache NiFi and Apache AirFlow Proficiency in a programming language such as Python or Scala for data engineering tasks Experience with cloud data services (AWS) Familiarity with Grafana tools Knowledge of data governance security and compliance in a cloud environment Experience implementing CI/CD and testing frameworks for data workflows Strong problem-solving skills communication skills and passion for collaboration. What can you expect from us? Mind-blowing workplace culture. You will be integrated in a professional dynamic and collaborative team. 100% Remote opportunities We want you to have the flexibility to work where you feel most comfortable and productive. International Career You can expect professional growth and to be connect with the world. We are represented in Portugal Belgium Luxembourg and Denmark. And with projects in many other countries Netherlands Luxembourg Singapore and in the United States of America (and a lot more is coming…) Extra Benefits & Perks If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company We will help! As a plus we provide Health and Life Insurance.
Lisboa, Lisbon, Portugal
Fluent in written and spoken Portuguese and English. 30 days’ notice period for termination The candidate can work remotely from any Portuguese region What you will be doing We're looking for a Data Engineer to support and develop a data platform within a large-scale international energy provider. Provide user support for the data platform troubleshooting and fixing issues Support data pipelines and ETL/ELT processes to enable reliable and scalable data flows Collaborate with platform architects to ensure the data platform is efficient secure and highly available Improve data processes monitoring performance and platform efficiency Support data quality frameworks and monitoring to ensure accuracy consistency and completeness of data pipelines Support for data lakes data warehouses and data streaming solutions Work with stakeholders (data scientists analysts business users) to solve issues in the data platform Automate repeatable tasks and improve the data ingestion transformation and delivery processes Troubleshoot and optimize data workflows and SQL queries for performance and cost efficiency Document data platform changes processes and best practices Review evaluate and approve data product releases to production. What we are looking for Experience with data pipelines in a production environment Strong hands-on knowledge of SQL and experience with distributed data processing (e.g. Apache Spark) Proficiency and knowledge of troubleshooting dbt Apache Kafka Apache Ignite Apache NiFi and Apache AirFlow Proficiency in a programming language such as Python or Scala for data engineering tasks Experience with cloud data services (AWS) Familiarity with Grafana tools Knowledge of data governance security and compliance in a cloud environment Experience implementing CI/CD and testing frameworks for data workflows Strong problem-solving skills communication skills and passion for collaboration. What can you expect from us? Mind-blowing workplace culture. You will be integrated in a professional dynamic and collaborative team. 100% Remote opportunities We want you to have the flexibility to work where you feel most comfortable and productive. International Career You can expect professional growth and to be connect with the world. We are represented in Portugal Belgium Luxembourg and Denmark. And with projects in many other countries Netherlands Luxembourg Singapore and in the United States of America (and a lot more is coming…) Extra Benefits & Perks If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company We will help! As a plus we provide Health and Life Insurance.
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