Cloud & Data Engineer

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

This is what you can expect as a Cloud & Data Engineer

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

Youll 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 youll combine your consulting skills with hands-on work: youll 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 dont need to have experience in all areas; we also value the ability to learn.

Collaboration

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

Together youll 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 35 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.

What we offer:

Youll work on societal challenges with a direct impact and help research teams make cloud data and AI applications responsible and reusablefrom initial experiments to controlled production. Youll join a multidisciplinary team with the room to pioneer set standards and share best practices across the organization.

• Excellent training opportunities for personal and professional growth.
• 34 vacation days based on a 40-hour workweek ABP pension wellness budget mobility budget and reimbursement for healthcare costs.
• Deltares offers a 12-month contract with the intention of converting it into a permanent contract. Our starting salary for a mid-level professional in scale 16 is 4395 gross per month based on a 40-hour workweek. The maximum in this scale is 7089. Salary placement is based on your experience.
• Flexible work environment with a focus on work-life balance. This position is available for 32 to 40 hours per week and can be performed in a hybrid or office setting.

There is much more to discover as described in detail on our career website.

Would you like to learn more about applying your software skills at Deltares Then visit our website.

Application Process

Apply directly via the application button and upload your resume and cover letter. If we see a good fit well 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 .

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