Key Skills

Job Description

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”. 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. Your profile and background 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. Acts independently and follows through on commitments. Escalates risks in a timely and constructive manner. Stakeholder Advisory Builds trusted relationships across organizational levels. Challenges assumptions and unclear requirements constructively. Facilitates alignment between stakeholders with diverse interests. Translates complex technical matters into understandable business language. Data Governance & Quality Promotes clear ownership and accountability for data. Ensures common definitions and consistent use of business terminology. Considers governance, quality, and sustainability in solution design. Identifies structural causes of data quality issues. Continuous Improvement Questions existing ways of working and proposes improvements. Actively contributes to standards, frameworks, and best practices. Shares knowledge and stimulates learning across teams. Drives simplification and reuse of solutions. Technical Leadership Makes sound technical decisions balancing short-term and long-term objectives. Guides colleagues in engineering approaches and design decisions. Contributes to architecture and platform evolution. Ensures high-quality engineering practices are applied consistently. Your contribution to TenneT 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. Our recruiting process Our offer Flexibility We are family friendly and flexible Flexible working hours without fixed times and home office options allow you to organize your work individually. Our external partners also provide you with support services for various phases of life - for example, in matters relating to household services or care and career. Details Payment & more Attractive Remuneration And Social Benefits We offer great benefits such as a salary based on our Collective Labor Agreement, an annual bonus and excellent pension scheme. Details Wellness Balance & Personal Growth Health - your basis Because we think it is important that you are healthy and feel good, we offer all kinds of great extras: we provide various opportunities to work out via our Always Energy program which offers a wide range of opportunities to indulge in sports (organised training for different sports, competitions and events). And you will receive a sports allowance if you are a member of a sports club. Details Technology & Innovation Modern working environment Modern IT-tools Ergonomic workstations Very well equipped conference rooms and communication solutions that enable cross-location and cross-border collaboration Details This will be our challenge Digital & Technology Transformation (DTT) is TenneT’s digital backbone. The division makes smart use of data, technology, and AI to optimise grid utilisation and strengthen decision-making. DTT delivers integrated and secure digital, technology, and data services that contribute to efficiency, innovation, safety, and compliance. The division supports business processes and workplaces with IT, develops data and integration platforms, and manages our infrastructure and cybersecurity. In this way, DTT accelerates TenneT’s transformation into a digital TSO. Additional information 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 You A permanent contract with a two-month probation period, based on a 40-hour workweek. A salary in Scale 9, ranging from €4816,- to €9472,- gross per month, plus 8% holiday allowance, and a 6% year-end bonus. A solid pension plan through ABP, with TenneT covering 70% of the pension premium. 43 days of annual leave per year. All employment conditions stated above apply to full-time employment unless otherwise specified. We highly value a healthy work-life balance and your personal development. Therefore, we offer flexible arrangements such as: Hybrid working, including travel, internet, and home office allowances. Support for your wellbeing, including contributions towards a gym membership and health insurance. Learning and development opportunities through the TenneT Academy, enabling you to continuously expand your knowledge and skills. We encourage initiative and give you the freedom to bring forward new ideas. Together, we ensure that the Netherlands remains connected and prepared for the energy of tomorrow. Do you have questions about the recruitment process? Please contact Rutger Prins at [email protected]. If you have any questions about the position, please contact Dennis van den Berg (Lead DTT Data & Analytics Enabling Functions) at +31 6 57 51 66 88 or via email at [email protected]. Applications can only be submitted through the online application form. Unfortunately, we are unable to process applications or CVs sent by email. Unsolicited services or approaches from recruitment agencies and other third parties in response to this vacancy are not appreciated and will therefore not be considered. Salary 4816 € - 9472 € Diversity At TenneT, we strive to make our recruitment process as efficient and fair as possible. To support this, we use AI technology as a tool. Our AI solution helps us match applicants based on relevant job titles and skills. It is important to note that no fully automated decisions are ever made; every application is ultimately reviewed by a human recruiter. Our AI does not take personal data such as gender, age, ethnicity, or religion into account, ensuring that applicants are not disadvantaged or discriminated against based on these factors. If you have any questions or objections regarding the use of AI in our recruitment process, please contact us at [email protected]. _______ TenneT keeps the Netherlands powered. We transport electricity 24/7 across the high-voltage grid, connect customers, and enable the energy transition by expanding the grid and using it more intelligently. Together with our partners, we work towards a reliable, affordable and resilient energy system. This is how we connect the Netherlands to a sustainable future. Connecting everyone to a brighter energy future.

Core Responsibilities

Design, build, and continuously improve scalable, reusable cloud data products and pipelines using Azure, Databricks, and modern engineering practices. Partner with business and technology stakeholders to clarify definitions and ownership, strengthen data quality and governance, guide architecture and technical decisions, and mentor colleagues.

Requirements

Requires a bachelor's or master's degree in computer science, data engineering, information technology, or a related field, plus at least seven years of relevant experience. Candidates should have enterprise cloud data platform experience, strong Azure, Databricks, SQL, Python, and Spark skills, and expertise in data pipelines, architecture, governance, quality, and stakeholder collaboration.

Benefits

• Annual Bonus
• Pension Plan
• Holiday Allowance
• Annual Leave
• Hybrid Working
• Travel Allowance
• Internet Allowance
• Home Office Allowance
• Gym Membership Contribution
• Health Insurance Contribution
• Learning And Development Opportunities
• Flexible Working Hours