> Markdown version of [/jobs/ext/4677687-data-engineer-temporary](https://www.wearedevelopers.com/jobs/ext/4677687-data-engineer-temporary). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Temporary - **Company:** Independent Recruiters - **Location:** Amsterdam, Netherlands - **Salary:** €6,000 - €7,000 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Message Queuing Telemetry Transport (MQTT), Queueing Systems, Cloud Services, SQL Databases, Data Streaming, Data Storage Technologies, Delivery Pipeline, Git, Data Lakes, Pyspark, Deployment Automation, Performance Monitor, Apache Nifi, Data Management, Software Version Control, Data Pipelines, Docker, Databricks - **Published:** November 12, 2026 - **Apply:** https://www.nationalevacaturebank.nl/vacature/2af538b8-84e4-4a7b-86f0-d8a71356c8e6/data-engineer-temporary ## About the Role + Proven experience in building, deploying, and managing containerized applications using Docker and Kubernetes. + Demonstrated expertise in Cloud services, with a preference for Azure. + Strong background in building reliable data pipelines using Databricks, PySpark, SQL, and Delta Lake. + Hands-on experience with real-time messaging technologies (e.g., MQTT) for streaming and processing live data. + Proficiency in developing and consuming APIs for data integration and sharing. + Strong command of the English language (both written and verbal). + Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. + Familiarity with Apache NiFi or similar data flow tools is considered a plus. + Experience in the energy sector is considered a plus. ## Description Are you passionate about building robust data infrastructure that drives the clean energy transition? This role offers the opportunity to take ownership of the entire data lifecycle, from designing and integrating complex data pipelines to deploying advanced AI/ML models. Working within an agile team, you will bridge the gap between technical complexity and business value, translating customer-centric user stories into high-performance, scalable data solutions. You will be at the heart of technical innovation, utilizing Python and SQL to build, optimize, and maintain automated data platforms. Beyond development, this position empowers you to influence strategy by challenging priorities and ensuring the stability of end-to-end BI solutions. If you are an engineer who thrives on proactive monitoring, automated deployments, and turning data into actionable insights for the wind energy sector, this is your chance to make a measurable impact! + Design, build, and maintain scalable data pipelines to integrate high-frequency, real-time, and historical data from wind turbines. + Develop and optimize robust data storage and processing solutions using Python, SQL, and Message Queuing Technology (MQTT). + Build end-to-end BI solutions, covering the full data lifecycle from collection to visualization. + Create and deploy AI/ML models to extract actionable insights from Big Data for business stakeholders. + Translate business needs into technical user stories, prioritizing customer value and challenging product roadmaps. + Implement and manage automated CI/CD deployment pipelines, including script-based rollbacks. + Establish proactive monitoring and alerting systems to ensure platform stability and performance. + Collaborate within an agile SCRUM team to solve complex technical challenges for the wind energy business. + A Bachelor's or Master's (HBO/WO) degree. + A proven track record in data engineering. + Availability to work from the Amsterdam office on Tuesdays and Thursdays. + Advanced proficiency in Python, including automated testing, CI/CD pipelines, and version control via Git.