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As a Data Engineer, you will drive digital transformation to the Cloud for a sustainable technology company in Udenhout. You will design and structure the data warehouse using SQL and Python, with a focus on Azure, to optimize processes and support growth goals.
Data Engineer at a data consultancy building its new Rotterdam team: day to day you develop data pipelines, integrate data sources and design cloud-native, scalable architectures (batch and streaming, datalake to warehouse) for clients, working with Python, SQL, Apache Spark, dbt and Airflow on Azure, AWS or GCP.
Data Engineer on the development team in Rotterdam of an AI-driven energy analytics company: you extend the ETL and data & analytics platform that collects, cleans, and transforms global energy data (shale, wind, solar) used for major investment decisions. Stack highlights Python, AWS, and web languages like Java or C#.
Data Engineer in Eindhoven (hybrid) who chooses their own projects and steers their own career, building robust data pipelines, automating data flows, and contributing to data-architecture decisions across diverse client solutions, with a transparent 70/30 revenue split.
Data Engineer at PHP Professionals in Amstelveen (NL) who prepares, connects and exposes data so colleagues can build reports and dashboards. Works mainly with SQL within the Digital team, advising management and departments to support data-driven decision-making.
Data Engineer at PHP Professionals in Deventer (50/50 hybrid) who designs and builds data models, unlocks source systems, and performs data warehouse mapping to support analytics dashboards and reporting, with a focus on data security, privacy, quality and scalability. Core stack: ETL, SQL and Databricks.
Senior Data Engineer in Den Haag who builds and optimizes data pipelines on Azure, AWS, or Google Cloud, translating business questions into scalable data solutions and shaping architecture while collaborating with analysts and developers. Data Vault or star-modeling experience is a plus, with room for training and growth.
A Data Engineer in Rotterdam working on a data & analytics platform for the energy sector: building out the ETL platform and cleaning/converting data so analytics tools deliver maximum insights for decision-making. Hybrid work setup with stock options.
Data Engineer at a top-3 Dutch staffing organization in Apeldoorn: develop and optimize data pipelines on a modern Azure data platform within a 6-person BI team, ensuring data is always available, reliable and usable. Core stack: Python, PySpark, SQL, Synapse, Data Factory, Data Lake; hybrid work possible.
Senior Data Engineer in Den Haag who builds and optimizes data pipelines and ETL processes in cloud environments (Azure Data Factory, Databricks, Synapse, AWS or GCP), translating business questions into scalable, reliable data solutions for clients across sectors, with room for architecture work, coaching and training.
A Data Engineer in Amsterdam building end-to-end real-estate data and AI solutions with Python, SQL, and AWS — designing data pipelines, scrapers, and APIs, contributing to scalable data warehouses, and sharing knowledge with juniors in an agile team alongside ML engineers and data scientists.
Data Engineer at an Eindhoven-based self-directed tech collective where you choose your own projects and clients: building scalable data platforms, robust pipelines, and automated data flows, plus advising clients on analytics and visualization. Stack: Python/R, Azure/GCP/AWS, APIs, Docker/Kubernetes, Airflow or Data Factory; hybrid work and a 70/30 revenue split.
Data Engineer at a real estate investment firm in Amstelveen: you prepare, organize, and link data, transforming large raw datasets into structured information for reports and dashboards. Mainly works with SQL, Power BI, SQL Server, and Microsoft Azure within a small Digital team, advising stakeholders across the organization.
Data Engineer at a Deventer-based company building data-driven solutions for Dutch education (secondary, MBO, HBO, universities). Day to day: developing and maintaining the data infrastructure — ETL, SQL, data models and data-warehouse mappings — with strong focus on data quality, security and privacy. Hybrid 50/50 home/office.
Data engineer at an Amsterdam company specializing in location and real-estate data. Day to day you design and maintain data pipelines, web scrapers, ETLs, databases, APIs and ML algorithms for customers, using Python, SQL, Docker, AWS and Google Cloud, while coaching junior engineers.
DevOps engineer at PHP Professionals in Lelystad (NL) who optimizes and manages AWS-based CI/CD pipelines, improves deployment and infrastructure processes, and supports teams and consultants in delivering reliable releases.
Builds and automates complete cloud-native platforms for clients: running Kubernetes clusters, setting up CI/CD pipelines, and managing infrastructure as code with Terraform or Bicep, preferably on Azure. Hybrid Amsterdam-based role — typically 1–2 days on-site at the client, other days flexible between home and office.
Hybrid DevOps Engineer role in 's-Hertogenbosch (NL) keeping cloud platforms secure, fast and reliable. Day-to-day work centers on provisioning environments and optimizing systems with AWS, Terraform, Terragrunt, Docker and Jenkins, collaborating with external partners such as Amazon and Cloudflare.
Builds and automates complete cloud platforms (beyond just CI/CD pipelines) for large enterprise clients such as VU and the Dutch police, centered on Azure, Kubernetes, Linux and Infrastructure as Code with Terraform/Bicep. Typically on-site at the client 1-2 days a week, otherwise hybrid from home or the Amsterdam office.
DevOps Engineer in Hengelo (NL) managing a modern Kubernetes platform: building reliable CI/CD pipelines, automating deployments, and boosting application performance and availability for thousands of users, while supporting dev teams with tooling and practices. Infrastructure as Code and Azure DevOps experience is a plus.
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