Cloud & Data Engineer

Would you like to help researchers bring data, cloud, and AI innovations into practice in a responsible way?

With your expertise in cloud and data, you’ll help our researchers (and, indirectly, users such as government agencies and water boards) with data-driven applications for their research projects. You’ll provide guidance on architecture, data governance, and responsible AI use.

You’ll work in an environment with a hybrid cloud landscape (on-premises, public cloud, and specialized environments), complex research data and compute workloads, and teams that want to develop experiments (including those involving AI) into reusable and managed solutions.

In this role, you’ll combine your consulting skills with hands-on work: you’ll assist teams with design decisions, help build prototypes, and work with stakeholders to take the necessary steps toward a successful project outcome.

Responsibilities

• Cloud and data architecture: advise on architectures for data- and compute-intensive applications (compute, storage, networking, containerization) in a hybrid/multi-cloud environment.
• Data engineering: supporting the design and implementation of data pipelines and API integrations, including Python-based processing (e.g., pandas, xarray, geopandas).
• From experiment to production: helping to build prototypes/PoCs and, developing them into reusable, managed solutions (CI/CD, containerization, operationalization).
• Data governance: assisting with the setup of metadata, data classification, access, data quality, and the application of FAIR principles in work processes.
• AI governance (MLOps-light): Ensuring prerequisites for AI/ML applications, such as traceability and reproducibility (dataset and model versions), logging/monitoring, and responsible use (privacy, security, compliance).

You don’t need to have experience in all areas; we also value the ability to learn.

In your role, collaboration and communication are crucial. You’ll conduct initial consultations with researchers who are just starting their projects and translate their research questions into feasible cloud, data, and AI solutions. In doing so, you’ll serve as a sounding board who bridges the gap between technology, governance, and practical application.

Together, you’ll work toward our mission of using knowledge and technology to create a livable and climate-resilient delta.

You thrive in a collaborative work environment and feel comfortable in an advisory and hands-on role. Additionally, the following is required:

• HBO+/WO level of education and thinking, and at least 3–5 years of work experience in data engineering, preferably in a scientific context.
• Strong Python skills (including pandas, xarray, geopandas).
• Experience with cloud platforms (hybrid/multi-cloud).
• Knowledge of data governance, metadata, FAIR principles, and data quality.
• Affinity with AI/ML applications and the associated requirements (data quality, reproducibility, model lifecycle, monitoring).

The following qualities are a plus.

• Experience with application deployment, containerization (Docker/Kubernetes), and CI/CD.
• Domain knowledge of environmental monitoring or Earth observation.

Apply directly via the application button and upload your resume and cover letter. If we see a good fit, we’ll call you after the application deadline to schedule an interview. Deadline: June 4.  The application process consists of two interviews. The first round will take place in the week of Juni 8. Do you have questions about the position? Please contact HR Recruitment +31615267686.

This position is based in the Netherlands. Working remotely from another country is not possible.