Senior Data & Analytics Product Lead

TenneT

Arnhem

On-site

EUR 54,000 - 106,000

Full time

3 days ago
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Benefits offered by this job

Hybride werken
Gezondheidszorg en sports abonnementen
Gymbijdrage en gezondheidsverzekering
8% vakantiegeld

Job summary

TenneT zoekt een Senior Data & Analytics Product Management Analyst die data-gedreven besluitvorming mogelijk maakt door schaalbare dataprodukten en analytics-oplossingen te ontwerpen en te leveren. Je verbindt business definities met technische implementatie en waarborgt data governance en kwaliteit.

In deze rol rapporteer je aan de Data & Analytics-portfolio en werk je samen met Business Data Analysts, Product Owners en Architecten om complexe vereisten om te zetten in duurzame technische

Qualifications

  • Bachelor's of Master's degree in Computer Science, Data Engineering, Information Technology, of related field
  • At least 7 years of relevant experience as Data Engineer or 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 Spark experience
  • Experience with CI/CD, Infrastructure as Code, DevOps, and automation practices

Responsibilities

  • 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

Skills

Azure
Databricks
SQL
Python
Spark
CI/CD
Infrastructure as Code
DevOps
Data governance
Stakeholder management

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, IT

Tools

Azure Data Platform services

Job description

TenneT zoekt een Senior Data & Analytics Product Management Analyst die data-gedreven besluitvorming mogelijk maakt door schaalbare dataprodukten en analytics-oplossingen te ontwerpen en te leveren. Je verbindt business definities met technische implementatie en waarborgt data governance en kwaliteit.

In deze rol rapporteer je aan de Data & Analytics-portfolio en werk je samen met Business Data Analysts, Product Owners en Architecten om complexe vereisten om te zetten in duurzame technische

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