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Mid-level Software Engineer responsible for the end-to-end development and hardening of a cloud-native SaaS platform. Core technologies include TypeScript, React (Next.js), Node.js, and PostgreSQL, with infrastructure managed on AWS using Terraform.
Develops ground and flight software for lunar and deep-space missions using C++ or Python, with a focus on spacecraft systems and mission control.
Sopra Steria's Data & AI practice in Nieuwegein (Netherlands) is hiring a medior/senior Data Scientist to translate complex business problems into robust, end-to-end data science solutions, working on simulations, digital twins and LLM products. Core stack: Python, MLOps, Docker/Kubernetes and Azure tooling.
Internal BI data warehouse specialist/engineer at a Dutch company in Geldermalsen that runs one of the country's largest consumer-behavior databases. Day to day: build and maintain enterprise data warehouses with SSIS ETL, SSRS reporting and SSAS cubes, on Microsoft SQL Server and Azure, including developing a new DWH.
Data Engineer building and maintaining the data environment of an internationally active company that helps make the agricultural sector more sustainable: designing data infrastructure, building pipelines, linking data sources and creating dashboards, mainly in Azure, Python and SQL, with room for machine learning. Office moving to Den Bosch; hybrid working possible.
Consultant Data Engineer at a ~100-FTE Dutch ICT consultancy serving the Utrecht–Gelderland region: you build data pipelines and prepare data for clients on long-term projects in multidisciplinary teams of 2–9. Core stack is SQL and Python, with ETL and cloud experience highly valued.
Iv is hiring a data engineer to turn large volumes of vibration, sound, and deformation measurement data from rail and infrastructure projects into usable insights. Day to day, you build analyses, reports, and dashboards using Python and Power BI, spotting deviations and investigating trends.
An IT/data engineer at VDL TBP Electronics in Dirksland who digitalizes and automates manufacturing processes by managing and developing production-supporting applications, working with ERP/MES systems, API integrations, SQL, and Power BI to drive data-driven improvements.
Royal Auping (Koninklijke Auping) is hiring an Enterprise Data Engineer to build and professionalize its data platform. Day to day this means integrating data from multiple sources, working on data modeling, integration and governance, and delivering reliable insights for reporting and planning, in a hybrid work environment.
Data Engineer building data foundations for reporting and AI using Azure Fabric, Databricks, and Data Factory. The role involves creating robust loading processes, lakehouses, and data models for Power BI consultants while working on client projects in a hybrid model.
Data Engineer processing infrastructure monitoring data (vibration, sound, deformation) into actionable insights and dashboards using Python and Power BI for civil engineering projects.
Data engineer designing, building, and optimizing Databricks ETL/ELT pipelines (batch and real-time) for consulting clients, using PySpark, Spark SQL, Scala, Delta Lake, and medallion architecture; also handles cluster cost/performance tuning, CI/CD, and legacy migrations to the Databricks Lakehouse. Requires 4+ years in data engineering and fluent English and Dutch.
Data Engineer designing and building real-time data pipelines and scalable infrastructures for various clients. Focuses on ML-like workflows and process optimization using data-driven solutions.
Designs and develops Koninklijke Auping's enterprise data platform, bringing together data from various sources into reports and analyses for the organization. The core stack is SAP Datasphere and SAP Analytics Cloud, with a focus on data quality, performance, and usability, working alongside IT and business teams.
Data Engineer in Incentro's 40-person Data Solutions team, building data platforms, ETL pipelines and ML solutions for clients in energy, logistics and catering (e.g. Alliander, Simon Loos, Hutten). Core stack: Python, SQL, Snowflake, dbt and Kubernetes. Hybrid role based in Utrecht Papendorp.
Data Engineer building end-to-end data pipelines and cloud solutions using Python, R, and SQL within a multidisciplinary consultancy team.
Cloud Data Engineer focused on building and maintaining data foundations on Azure. Responsibilities include designing data solutions, integrating sources, and ensuring data reliability within an agile DevOps environment for various client projects.
Consulting data engineer (Deloitte) designing, building, and optimizing Databricks pipelines: ETL/ELT with PySpark, Spark SQL, and Scala, Delta Lake medallion architecture, cluster cost/performance tuning, CI/CD automation, and migration of legacy pipelines while driving Lakehouse adoption across clients. Requires 4+ years of data engineering experience.
A consulting data engineer at Sia Partners works on client projects and internal AI solutions, building cloud architectures on GCP/AWS/Azure, containerizing apps with Docker and Kubernetes, writing Python services and ETL pipelines, and managing CI/CD and ML infrastructure.
Kubernetes DevOps Engineer based in Haarlem, focused on designing, building, and managing on-premise Kubernetes platforms. The role involves automating deployments, developing CI/CD and GitOps processes, and ensuring high availability and security for business-critical systems.
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