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Senior Data/Software Engineer for a ~6-month temporary assignment in the Netherlands (team ART Netprognose & Netontwerp): redesigning a data model, developing and refactoring a large Python codebase, writing automated tests with Pytest, and collaborating with data scientists and software engineers.
Data Engineer for Schiphol Group's Team GreenWave, building and maintaining Python backend services, REST APIs and data pipelines that power passenger timeslot services at the airport. Day to day involves deploying and operating on Microsoft Azure with Kubernetes/OpenShift, PostgreSQL, CI/CD and production monitoring, working alongside data scientists.
Data engineer at Qogita who builds and maintains production ELT pipelines feeding the company data warehouse, manages dbt models, monitors data quality, and optimizes warehouse performance and costs. Core stack: dbt, SQL, Python, a cloud data warehouse (Snowflake/BigQuery/Redshift), and Airflow or Dagster.
Data Engineer (via staffing firm All About Work) on Team GreenWave, building Python backend services, REST APIs, and data pipelines for an airport passenger-flow data platform at Schiphol. Work is deployed and managed on Azure with Kubernetes/OpenShift, alongside data scientists and product owners.
Entry-level data engineer (0-3 years) at engineering firm Iv in Sliedrecht, Netherlands, processing monitoring data — vibration, noise, and deformation measurements from rail, construction, and civil infrastructure projects — and turning it into reports, analyses, and dashboards using Python, Power BI, and various data sources.
Data Engineer at Hogeschool Rotterdam (posted via Fygi) building data pipelines, datamodels, and datasets that power reporting, dashboards, and analytics for education, research, and operations. The role centers on SQL, data modeling, data standards, and collaboration with integration, authorization, and BI teams, based in Rotterdam with hybrid work.
Data engineer at Bevolkingsonderzoek Nederland (the Dutch national cancer screening organization) joining a Scrum team that builds, optimizes and manages the data warehouse: developing ETL with T-SQL/Microsoft SQL Server and Azure Data Factory, monitoring daily runs, regression/DQ testing, and documenting in Azure DevOps. Hybrid, 50% home working from the Utrecht HQ.
As a Data Engineer at Datapas (part of the Visma group), you own the data flows from API to data warehouse for clients in the education sector, building and maintaining the data foundation behind their reporting and strategic decisions. The role works with modern data and BI solutions in an increasingly AI-driven way of working.
Senior Data Engineer at Kadaster (the Dutch land registry) working in the IVZ team to improve a new data infrastructure: designing Python data pipelines, refactoring, testing and building APIs that link base registry data to internal sources. Core stack includes Kubernetes, Helm, PostgreSQL and Oracle.
At Schiphol Group's Team GreenWave, this data engineer builds and maintains backend applications, REST APIs, and data-intensive services powering passenger timeslot booking, managing software platforms on Azure and Kubernetes/OpenShift with Python and PostgreSQL, plus CI/CD, testing and collaboration with data scientists.
Data engineer at Schiphol Group's Team GreenWave, building the data and software platforms behind passenger timeslot services. Day to day you design Python backend services and REST APIs, build data pipelines, and deploy on Azure with Kubernetes/OpenShift, working with data scientists to productionize models.
Data engineer for Afvalservice Breda (part of the Municipality of Breda) who designs, manages and improves the data chain, delivering reliable, reproducible data for dashboards and analysis. Core stack is SQL and Power BI with a strong focus on data quality.
SIRE LIFE SCIENCES is hiring a Senior Data Engineer to build and run the data platform behind airport passenger flow management: Python backend services, REST APIs, and data pipelines for internal and external use, deployed and operated on Azure/Kubernetes/OpenShift with monitoring, incident response, and collaboration with data scientists to operationalize models.
Data Engineer working for a market-leading client in Schiphol-Rijk, Netherlands, building and maintaining Python backend services, REST APIs, and data pipelines for passenger timeslot and demand-capacity balancing. Deploys on Azure using PostgreSQL and Kubernetes/OpenShift, with a focus on reliability, monitoring, and CI/CD.
Design, build and maintain the group's data integration layer: creating governed cloud data pipelines and reusable data services that support reporting, analytics, automation and AI across an international consultancy. Hybrid role in the Netherlands, working closely with Data Architects and IT teams.
Data Engineer at Hogeschool Rotterdam (via Fygi) in Rotterdam who translates information needs into smart data models, builds reliable data pipelines and datasets for reports and dashboards, monitors data quality, and collaborates with integration, authorization, BI and analytics colleagues on future-proof data solutions.
Permanent (CDI) data engineer role focused on designing, industrialising and monitoring EDI and batch data flows (EDIFACT, X12, XML, CSV) between internal ERP systems and external partners. Core stack: Talend/SSIS/Informatica ETL with Control-M, Autosys and Airflow orchestration plus Bash/Python scripting.
Lead a data engineering team at a B2B SaaS company (based in Voiron, near Grenoble, up to 2 days/week remote), owning the full data value chain: scalable data architecture, datalake/datawarehouse design, large-scale search/indexing engines, and applied AI/vectorization for data science.
Permanent Data Engineer role designing, building, and monitoring data pipelines in Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks/Spark) and a Lakehouse (Delta/Parquet), moving Dynamics 365/Dataverse data for Power BI/Excel reporting, with CI/CD and data governance. Requires 3+ years of data engineering experience and fluency in French, Dutch, and English.
Designs and operates the data and knowledge foundations of an AI virtual-assistant platform: building end-to-end batch and near-real-time data pipelines with Databricks, modeling business domains as knowledge graphs, and exposing data via FastAPI services used by production AI agents. Core stack: Python, SQL, Spark, Azure, Databricks, FastAPI, Docker/Kubernetes.
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