Senior Data & Analytics Product Management Analyst

Werken bij TenneT

TenneT is committed to providing reliable, sustainable, and affordable energy to its customers. To realize its strategic ambitions, the Data & Analytics Enabling Functions department within Digital & Technology Transformation (DTT) empowers the organization with effective steering and decision-making by delivering reliable, accessible, and reusable enabling data, scalable digital solutions, and optimized business processes across all divisions.

Our team consists of ambitious professionals who are not merely adapting to change, but actively driving it. We are looking for an experienced and proactive Senior Data & Analytics Product Management Analyst who combines strong technical expertise with business understanding and a passion for improving how organizations work with data. Beyond building scalable cloud-based data solutions, you help stakeholders create clarity around business definitions, ownership, data quality, and governance. You take initiative, challenge ambiguity, and contribute to establishing sustainable and reusable data products that support reliable decision-making across TenneT.

Working with cutting-edge technologies such as Azure, Databricks and modern DataOps practices, you will help build the data foundation that enables TenneT to deliver on its purpose: “Connecting everyone with a brighter energy future”.

Het Aanbod

TenneT offers you the opportunity to contribute to a sustainable energy future. Together with colleagues, partners, and stakeholders, you will work on innovative solutions that enable the energy transition. We provide an environment where you can develop your talents and where your personal growth is a key priority.

We offer excellent employment conditions, including a competitive salary, solid pension plan, generous time off, and hybrid working opportunities with various allowances and developmental support through the TenneT Academy.

Solliciteren

Ben jij klaar om deze uitdaging aan te gaan en bij te dragen aan de energietransitie? Solliciteer direct via de online sollicitatiebutton.

Belangrijkste verantwoordelijkheden

• Design, develop, and maintain scalable and high-performing data pipelines and data products using Azure, Databricks, and related cloud technologies.

• Build trusted, reusable, and business-critical data assets that support reporting, analytics, and data-driven decision-making across TenneT.

• Design and implement analytical models, integration solutions, and ETL/ELT processes following modern data engineering principles and best practices.

• Collaborate closely with Business Data Analysts, Product Owners, Architects, and business stakeholders to translate requirements into sustainable technical solutions.

• Help stakeholders define, refine, and document clear business definitions, ensuring that data products are based on a shared understanding of meaning, ownership, and usage.

• Challenge stakeholders on data quality, data ownership, consistency, and the reuse of data logic across reports, models, and systems.

• Identify where business processes, definitions, responsibilities, or decision-making structures around data are unclear, and actively contribute to improving them.

• Drive data quality, reliability, security, and compliance by implementing monitoring, testing, governance, and observability standards.

• Contribute to the definition and evolution of TenneT's data architecture, engineering standards, and cloud platform roadmap.

• Contribute to the migration of legacy data solutions towards cloud-native and future-proof data products.

• Promote and apply DataOps, DevOps, automation, and CI/CD practices to improve development efficiency and platform reliability.

• Identify opportunities to optimize platform performance, scalability, maintainability, and cost efficiency.

• Coach and mentor fellow engineers and actively contribute to knowledge sharing, innovation, and continuous improvement within the team.

• Act as a technical sparring partner for colleagues and stakeholders and support architectural and design decisions across data initiatives.

Vereisten

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.

• At least 7 years of relevant experience as a Data Engineer, Analytics Engineer, or similar role.

• Proven experience designing, building, and operating enterprise-scale data platforms in cloud environments.

• Extensive experience with Azure Data Platform services and Databricks.

• Strong programming skills in SQL and Python, and experience with Spark.

• Experience designing and implementing complex ETL/ELT pipelines and integrating multiple source systems.

• Solid understanding of data architecture, data modeling, and data warehousing concepts.

• Experience with CI/CD, Infrastructure as Code, DevOps, and automation practices.

• Knowledge of data governance, security, privacy, and data quality frameworks.

• Strong analytical, problem-solving, and stakeholder management skills.

• Ability to work with business stakeholders to clarify business definitions, data ownership, and decision-making needs.

• A proactive attitude in challenging unclear requirements, fragmented business logic, and inconsistent use of data across the organization.

• Understanding of how data governance, business definitions, and technical implementation come together in reliable enterprise data products.

• Excellent communication skills and the ability to engage effectively with both technical and non-technical audiences.

• Professional proficiency in English, both written and spoken.

Secundaire arbeidsvoorwaarden

• Extra beloning (bijv. 13e maand, vaste eindejaarsuitkering)
• Pensioen
• Reiskostenvergoeding