All-round Data Engineer

As Data Engineering Lead, you act as the link between data engineering and data analysis, enabling data-driven decision-making across electrolyzer development projects. You'll design, deploy, and scale data pipelines and platforms that support industrial and R&D use cases, while working in an agile scrum setup.

You'll join a dynamic scrum team of around 10 data professionals and contribute to projects that directly support the reduction of carbon emissions and the fight against climate change., * Design, deploy, and scale ETL pipelines for real industrial use cases

• Build and maintain cloud-based data architectures (preferably Azure)
• Work with Data Factory, Fabric, and/or Databricks workflows
• Implement streaming and IoT data solutions (e.g. Stream Analytics, Kafka)
• Process and manage time-series data from electrolyzer systems
• Develop and manage data models, schemas, metadata, and APIs
• Implement data governance to enable analytics and data science
• Manage and maintain CI/CD pipelines, including repositories and deployment automation
• Ensure proper testing (unit, integration, acceptance, functional)
• Create and support data visualizations (Power BI, Tableau)
• Collaborate closely with data analysts and engineers throughout the full project lifecycle
• Engage regularly with internal stakeholders to understand and translate information needs
• Work according to the SCRUM framework, using tools such as Azure DevOps and Jira

Are you a data engineering professional who wants to make a real impact on the energy transition? Do you enjoy working at the intersection of data, engineering, and sustainability? This role offers the opportunity to contribute directly to cutting-edge hydrogen technology., You're a hands-on, analytical professional who enjoys building reliable, scalable data solutions in complex technical environments. You communicate clearly, take ownership of your work, and are motivated by contributing to sustainable innovation., * 5+ years of experience in a similar data engineering role

• Strong knowledge of cloud architectures (preferably Azure)
• Experience with ETL, orchestration, and data processing frameworks
• Knowledge of streaming/IoT and time-series data processing
• Solid background in SQL, NoSQL, data modeling, and APIs
• Proficient in Python (numpy, pandas, pyspark) and YAML
• Experience with Git and CI/CD tooling
• Familiar with data governance and relational data modeling
• Experience with Power BI and/or Tableau
• Comfortable working in an agile/SCRUM environment

our client in North-Brabant is at the forefront of innovation in hydrogen technology and sustainable energy solutions. One of the key focus areas is the development and optimization of advanced electrolyzers, which play a critical role in green hydrogen production. Electrolysis involves complex multiphase flows of oxygen and hydrogen that influence water and temperature distribution within the electrolyzer stack-making robust, scalable data solutions essential. You'll be working in an international environment, collaborating with teams across multiple Bosch locations worldwide.