Experienced Data Engineer | Azure & Databricks

The energy transition demands smart, decisive professionals. Within the Data & Analytics team, we ensure that data is findable, accessible, interoperable, and (re)usable, and we translate this data into data-driven solutions so that the Netherlands can rely on a stable electricity grid tomorrow. Will you contribute to this as an experienced Data Engineer?

How will you keep the Netherlands running?

As an experienced Data Engineer, you will ensure that data from various sources is available reliably, securely, and scalably for analyses, reports, AI applications, and processes within TenneT. But you are not just a standard "pipeline" builder: you actively contribute to the development of the data foundation and the cloud platform on which data-driven decision-making within TenneT is based.

You translate business needs into data products, data pipelines, and data models, looking beyond just the technical aspects. You consider the quality, meaning, reusability, and manageability of data throughout its entire lifecycle.

Together with engineers, architects, Product Owners, and business experts, you will build a future-proof data foundation for TenneT. You contribute to technical standards, help professionalize your field, and have a direct impact on how data is used to make the electricity grid smarter and more reliable.

As an experienced Data Engineer, you are one of the technical experts within the team. You play an important role in the design of the data platform, the development of data solutions, and making technical choices that ensure scalability, reliability, and future-proofing.

Depending on your experience, you will take responsibility for designing, developing, and managing robust data solutions. Medior engineers will have the opportunity to further develop in architecture, cloud, and DevOps issues. Senior engineers will also play a more guiding role in technical choices, standards, and knowledge sharing within the team.

Data modeling plays an important role in this. You translate business concepts and information needs into logical and physical data models and ensure coherence between the different layers of the data landscape. You make conscious choices about how data is structured and made available, applying dimensional modeling where appropriate.

You are a T-shaped professional: you have a solid foundation in Data Engineering and are curious about adjacent fields such as cloud engineering, DevOps, data modeling, data governance, and analytics. This allows you to collaborate effectively with different disciplines and continue to develop yourself in both the depth and breadth of the field.

You will work in the Data & Analytics team within the Assets department.

You will be involved in, among other things:

• Designing, developing, and managing scalable data products, data pipelines, and data models.
• Translating business needs and business concepts into technical solutions and consistent information models.
• Developing Data Warehouse solutions with Databricks, Apache Spark, Python, and SQL.
• Applying data modeling techniques, including dimensional modeling (Kimball), where appropriate.
• Developing production-grade solutions with attention to security, quality, testing, monitoring, deployment, and management.
• Collaborating on the further development of the TenneT Data Cloud Platform.
• You will take the lead in technical designs, complex solution directions, and platform issues, acting as a sparring partner for architects, Product Owners, and other engineers.
• Working according to modern engineering principles such as Git, CI/CD, Infrastructure as Code, automation, and code reviews.
• Actively contributing to technical standards, best practices, and continuous improvement of the engineering way of working.
• Sharing knowledge and supporting colleagues with relevant issues.

At TenneT, we look for professionals who contribute to an effective and future-proof project organization. We expect you to have the right experience and skills to make a valuable contribution to our team and our mission. We are looking for an engineer who enjoys taking responsibility, is analytically strong, and gets energized by complex data challenges.

In addition, you have:

• A completed Bachelor's or Master's degree in a relevant field.
• Approximately 4 to 10+ years of experience in Data Engineering, Data Warehousing, or a similar field.
• Experience in a role where you not only realize solutions yourself but also provide technical direction, make design choices, and transfer knowledge to other engineers.
• Demonstrable experience with designing, building, and managing production-grade data products, data pipelines, and/or data platforms.
• Extensive hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Extensive experience with Microsoft Azure, Python, and SQL, and with data and information modeling, including dimensional modeling according to Kimball.
• Knowledge and experience of Git/GitHub and modern software engineering practices.
• Practical experience with CI/CD, automated testing, and Infrastructure as Code.
• Experience in making and substantiating architectural and technical design choices.
• Experience with Agile/Scrum or a similar engineering environment.
• Professional proficiency in the Dutch and English languages.

For senior candidates, you are also accustomed to providing technical direction, substantiating design choices, and guiding colleagues in their development.

You recognize yourself in the following competencies:

• Managing Complexity: You understand complex issues, make connections between data, processes, and systems, and arrive at sustainable solutions.
• Organizational Awareness: You understand that complex data solutions extend across team and domain boundaries. You know which people and disciplines are needed to arrive at a good solution and actively seek collaboration.
• Persuasiveness: You have a solid technical foundation and can clearly explain complex technical issues and choices. You listen to other perspectives and can reach supported solutions based on substantive arguments.
• Ownership: You take ownership of data solutions throughout their entire lifecycle. You make conscious design choices, monitor quality and reliability in production, and actively steer towards further development, adoption, and continuous improvement.

Why this is a great position:

• You make a direct contribution to the energy transition and a reliable energy supply for the Netherlands.
• You work with modern technology such as Azure, Databricks, Spark, Python, SQL, and CI/CD.
• You influence both technical solutions and the way we shape Data Engineering within TenneT.
• You are given space to further develop yourself towards cloud, platform, and DevOps engineering.
• You collaborate with experts from various disciplines and domains.

Do you recognize yourself in this? Then we would love to meet you.

• You are an engineer who looks beyond implementing a feature or ticket.
• You want to understand why a solution is needed, what value it adds, and how it can be reliably deployed and managed in production.
• You are a curious and entrepreneurial professional who sees opportunities and takes initiative. You don't wait, but explore possibilities and come up with improvements that advance our data and engineering practice.
• Whether you are an experienced medior looking to grow or a senior engineer wanting to provide technical direction, you are energized by complex data challenges, you enjoy collaborating, and you want to contribute to a professional engineering team that plays a key role in the energy transition.

This role falls within the IT Specialist job profile, ensuring that both you and TenneT have clarity on the responsibilities, expectations, and growth opportunities associated with this position.

Skills