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Senior Data Engineer at Amaris Consulting (part of Mantu) who designs, builds, and maintains scalable data pipelines in cloud environments, collaborating with data scientists and business stakeholders. Core tech: ETL/ELT, data warehousing, Medallion Architecture, Python or Java, and cloud data platforms.
Procurement Data Engineer at Philips supporting procurement digital transformation: building and maintaining data pipelines and the Procurement Data Model, enabling AI adoption, and ensuring master data governance. Core stack includes SQL, Python, Databricks, SAP, and Azure; office-based in the Netherlands with at least 3 days per week on-site.
1UPPLY is hiring a Data Engineer (Java) in the Netherlands to design, build, and maintain scalable Java data-chain components for a pension organization. Day to day: Java (17+), Spring Boot, REST APIs, SQL/data modeling on Oracle/PostgreSQL, and cloud/CI-CD tooling within multidisciplinary Agile teams, with a hybrid on-site expectation.
A senior Data Engineer joins a compact four-person data team at a Dutch organization to build and run its modern data platform: designing pipelines, ETL/ELT processes, warehouse models and Power BI reporting on a stack of Snowflake, Matillion, Python, SQL and Azure, integrating sources from databases and APIs to ERP, HR, service-desk and IoT data.
A Senior Data Engineer builds and maintains data pipelines, integrations, and cloud infrastructure supporting a Microsoft Fabric / Azure data platform, using Docker and automation to keep production pipelines reliable. Hybrid role based in Zeeland, Netherlands, working closely with the Data Platform Lead.
Senior Data Engineer at Datacation, a Dutch data & AI consultancy (~50 staff) with an engineer-plus-consultant model. You design and build modern data platforms on Azure (Python, SQL, Databricks), act as technical sparring partner for clients, present solutions, and coach junior colleagues from the Amsterdam office.
Azure Data Engineer engaged via Bright-Professionals for De Nederlandsche Bank (DNB), building data products and pipelines that support central banking, supervision and statistics. Core stack: Azure (Databricks/Synapse), Spark/PySpark, SQL/T-SQL, Python, Azure DevOps CI/CD and IaC, with heavy emphasis on AI-augmented engineering.
Azure Data Engineer building data solutions for De Nederlandsche Bank (the Dutch central bank): ETL and data products in Databricks/PySpark, Azure SQL and Azure DevOps CI/CD, with AI-augmented engineering and solid testing. Hybrid work, min. 32 hrs/week; fluent Dutch and an MSDN enterprise license required.
A medior data engineer builds scalable, future-proof data platforms for clients with Databricks at the core — developing batch and real-time pipelines with PySpark, Python and SQL, implementing Delta Lake and medallion architectures, and working on data quality, lineage, observability and governance in a client-facing consultancy setting.
Senior data engineer who designs, builds and operates production ETL/ELT data pipelines in Python that power ML and AI-driven products, working with graph databases and vector stores (SurrealDB) on GCP, plus cloud infra, DevOps/CI-CD and security controls, with an eye toward growing into technical leadership.
Senior Data Engineer at Yer, a Dutch staffing/secondment firm, who designs, builds, and optimizes reliable, scalable data solutions and pipelines for client organizations—mainly in the government and energy sectors—collaborating with product owners, analysts, and other data specialists.
Senior Data Engineer at a boutique Databricks consultancy in the Netherlands: you design tailored data architectures and build and optimize pipelines on the Databricks Lakehouse platform (ingest to transformation) across Azure, AWS, and GCP for a variety of clients, while documenting solutions, optimizing performance and costs, and coaching client teams.
Data engineer owning the data warehouse and full data environment at a young international automotive manufacturing company, working in a small internal IT/BI team. The role is roughly 70% back-end (data modeling, unlocking data from multiple ERP systems) and 30% Power BI front-end.
Senior Data Engineer at LINKIT (Netherlands) designing and building scalable cloud data platforms and pipelines for clients in mobility, energy and financial services. Core stack: SQL, Python, Azure/AWS/GCP with Snowflake, Databricks or Fabric, plus tools like Airflow, dbt and ADF.
Founding-level data engineer who owns Polymodal's end-to-end event data pipeline — capture contracts, streaming and batch processing, a BigQuery-class warehouse, and governance/privacy — for its agent-execution platform. Built with Rust, Python, and TypeScript on Google Cloud and Cloudflare.
Senior Data Engineer working in the client's (R.E.T. N.V.) Data Office team to build and run CREDO, a central Azure lakehouse data platform with medallion structure and Delta Lake. Day to day: building PySpark pipelines, SQL dimensional models and data quality checks, and leading the migration from Azure Synapse to Microsoft Fabric.
Data Engineer at Sopra Steria's Data practice in Groningen: you build, connect, and optimize data pipelines and integrations using Azure Data Factory, Snowflake, Databricks, and SQL so client data is available, reliable, and usable. Hybrid role with Groningen as the fixed base.
Data Engineer at the municipality of Vlaardingen (gemeente Vlaardingen), building and maintaining ETL processes, API integrations and data flows within a modern, cloud-oriented data platform as part of the BI team, with emphasis on open standards, open source, privacy and digital sovereignty.
First data engineer building the data stack from scratch at a Dutch employee-benefits company: owns ETL pipelines into Amazon Redshift, defines company-wide metrics with the business, and delivers trusted reports/dashboards. Core tools are SQL (MySQL, PostgreSQL sources) and a BI tool like Power BI, Metabase or Tableau.
Senior Azure Data Platform Engineer for a leading financial institution in the Utrecht region. The role focuses on the infrastructure side of data engineering: building and maintaining a scalable, secure Azure data platform (Data Factory, Databricks, Synapse), automation with IaC and CI/CD, and security/compliance supporting regulatory banking reporting.
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