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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data & Analytics Product Management Analyst - **Company:** TenneT Holding B.V. - **Location:** Arnhem, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €4,816.0 - €9,472.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Business Logic, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Python (Programming Language), Power BI, DataOps, SAP (Applications), SAP HANA, SQL Databases, Systems Integration, Cloud Platform System, Azure Data Factory, Apache Spark, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Enterprise Integration, Data Management, Data Pipelines, Databricks - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a2e8d4ff3fb6df2c ## About the Role You are an experienced Data & Analytics professional who combines deep technical expertise with strong business understanding. You enjoy solving complex data challenges, but you also recognize that sustainable data products require clear ownership, agreed definitions, strong governance, and effective collaboration between business and technology teams. You are naturally curious, proactive, and comfortable challenging situations where requirements, responsibilities, or business logic are unclear. You are comfortable working in a dynamic environment, but you also look beyond the technical solution. You understand that durable data products require clear definitions, strong ownership, reliable data quality, and a consistent way of working across the organization. You combine hands-on technical expertise with strong communication and stakeholder management skills. You are able to influence both technical and non-technical stakeholders, ask the right questions, bring structure to unclear information needs, and help move the organization from individual requirements towards reusable and well-defined data products. You bring: * 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. Nice to have * Experience with SAP 4/HANA as a source. * Experience with Power BI semantic models and analytics solutions. * Experience working in Agile/Scrum environments. * Experience within the energy, utilities, infrastructure, or asset-intensive sectors. Competencies Ownership & Initiative * Takes responsibility for outcomes rather than only assigned tasks. * Proactively identifies issues and improvement opportunities. ## Description 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". Purpose of the Role The Senior Data & Analytics Product Management Analyst is responsible for designing, delivering, and continuously improving reliable, scalable, and reusable data products that enable data-driven decision-making across TenneT. The role goes beyond technical implementation. As a senior professional, you proactively identify opportunities to improve how data is defined, governed, and used across the organization. You bridge business and technology by helping stakeholders establish shared definitions, clear ownership, and sustainable data practices, ensuring that data products remain reliable, reusable, and aligned with business objectives., As a Senior Data & Analytics Product Management Analyst within TenneT's Data & Analytics department, you play a leading role in designing, building, and evolving scalable cloud-based data solutions. You translate complex business requirements into sustainable data products and analytical models, while also helping the organization improve how business definitions, data quality, ownership, and reusable data products are established and maintained. You combine strong technical expertise with business understanding, data governance awareness, and a proactive mindset. You act as a trusted advisor for both business and technology stakeholders, and you are comfortable challenging unclear requirements, inconsistent definitions, and fragmented ways of working. In this role, you will: * 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.