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Data engineer at SSC-ICT (the Dutch national government's shared ICT service) in Den Haag for a 2-month, 36 hrs/week contract. Day to day: build and maintain ETL/ELT pipelines with DBT, model data using Data Vault 2.0, and automate with Git/Airflow CI/CD on a container-based, PostgreSQL on-premise data platform.
Data/Platform Engineer at Team EIFFEL, a Dutch IT consultancy in Utrecht working on varied data projects for clients ranging from corporates to government. Day to day: collecting and integrating data, designing data platforms per the Medallion Architecture, ensuring data quality, and migrating data using ETL/ELT tools like Azure Data Factory, dbt, and Airflow.
A 1.5-year traineeship in Arnhem (NL) that grows data analysts into full Data Engineers: build batch/realtime pipelines and ETL, help design an Azure data platform using Medallion architecture, model datasets, and ensure quality via testing, monitoring, and Purview. After 1.5 years, you can join the client company.
Senior Data Engineer at Team EIFFEL, a Dutch consultancy, doing project-based data work for corporates and government from Utrecht. The role collects and integrates data, builds and optimizes data platforms using Medallion Architecture, transforms and models data for BI, and mentors junior colleagues, using SQL, Python and tools like Data Factory, dbt and Airflow.
Data engineer at Data Science Lab, a Dutch data consultancy: you build end-to-end data solutions and cloud data infrastructure (ETL pipelines, data platforms) for various client organizations, working alongside data scientists and consultants. Core stack includes Azure, Databricks, dbt, Terraform, Python/PySpark and SQL.
A 1.5-year traineeship in Utrecht where a data analyst grows into a full Data Engineer at a client: building batch/real-time pipelines and ETL, and co-designing a Medallion-architecture data platform on Microsoft Azure (Data Factory, Databricks, dbt, Purview), with the option to join the client afterwards.
A 1.5-year development program in Utrecht for a data analyst (or data scientist/BI developer) growing into a full Data Engineer while working on projects at a client. You build batch/realtime data pipelines and ETL, help construct a Microsoft Azure data platform using Medallion architecture, model data, and ensure quality with tests, monitoring, and documentation (e.g. Microsoft Purview).
Senior product engineer building organizing and voter-outreach software (the Matchbook web app, its API, and part of a data pipeline) for Democratic campaigns and progressive organizations. Day-to-day: turning ambiguous ideas into technical plans, making architecture decisions, and shipping lots of code with heavy use of coding agents/LLMs. Stack: React, GraphQL, Django, Postgres, dbt, BigQuery, G
Graduate-level data engineer joining a small South Manchester data consultancy that builds modern data platforms for business clients. You start with SQL and Python, then gain exposure to Databricks, Spark, dbt, Git, cloud, data modelling and ETL on live client projects, with funded training and Databricks certification; office presence in Wilmslow expected.
Senior Data Engineer designing ETL/ELT pipelines, cloud data warehouses, and analytics/ML data layers for AI-native U.S. startups through Ruzora's partner placements. Core stack: Python, SQL, dbt, Airflow/Dagster, Snowflake/BigQuery, AWS. Fully remote across LATAM.
Senior Data Scientist at Fora, a tech-driven travel agency, who owns the growth operating model for forecasting, planning, and goal-setting and partners with Finance and executives on strategic decisions. Day to day: SQL/Python analytics, financial and scenario modeling on a modern cloud data stack (BigQuery, dbt, etc.), from the NYC office.
Senior Data Scientist on Fora's Data Science & Analytics team, partnering with Growth leadership to measure marketing incrementality, design experiments, own attribution and media mix modeling, and productionize ML models for customer value and retention. Core stack: advanced SQL, Python, and a modern cloud data stack; on-site in New York City.
Senior Data Scientist on Fora's product analytics team, partnering with product, engineering, and design to analyze advisor behavior, design and analyze experiments, and build predictive models for a 3-sided travel marketplace. Core stack: advanced SQL, Python, and a modern cloud data stack (BigQuery, dbt, etc.), with LLM tools used for analysis and prototyping.
Senior Data Analyst at Shopware (open-source e-commerce platform) owning the technical definitions, SQL logic, and governance of business-critical KPIs like ARR and revenue in the data warehouse, while enabling Finance self-service. Core stack: SQL, Power BI, with dbt a plus. Onsite, hybrid, or fully remote within Germany or selected registered EU countries.
Sr. Staff Data Platform Engineer acting as chief architect of WEX's enterprise data platform — building lakehouse engines, self-service SDKs, orchestration and governance tooling at petabyte scale. Deep Java/Python systems engineering on AWS/Azure with Apache Iceberg, Spark and Kubernetes is central to the day-to-day.
Senior data scientist owning the analytical and experimentation roadmap for ranking and relevance at Fetch, a consumer rewards platform with an advertiser-funded marketplace. Partners with Product, Engineering, and ML on ranking models and marketplace measurement using Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS. Remote in the US or any Canadian province except Quebec.
Staff-level data scientist who serves as Fetch's company-wide scientific and measurement leader: owning the MAU × ARPU measurement framework, canonical metrics and semantic layer powering FetchGPT, and strategic models (marketing mix, elasticity, forecasting). Heavy focus on causal inference, experimentation governance, and executive-facing analytics using Python, SQL, Snowflake, and dbt.
Lead AI/ML Engineer at Arkestro (a predictive procurement platform) owns building, shipping, and operating AI-powered and agentic functionality end to end in production — from architecture decisions and dbt data pipelines to evals and MLOps tooling — using Python, AWS, and Snowflake.
Staff Product Manager leads AI-driven connector development for Fivetran, driving roadmaps for new connectors and enhancing existing ones to boost growth. Focuses on data movement, API integrations, and customer-centric improvements.
Builds and operates Storable's analytics platform: production APIs, data pipelines into Snowflake, and data models that power reporting, customer-facing analytics, and AI agents across its storage, marine, and RV products. Core stack includes SQL, Snowflake, orchestration tools like dbt/Airflow/Dagster, and cloud services, working hybrid from Seattle 2-3 days per week.
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