Data Engineer jobs in Germany

Position within Software Engineering Department, permanent full‑time (35‑40 h/week), based in Berlin. Hybrid model – at least quarterly presence in Berlin office. Ideally starting 01.01.2026 or sooner.

As Senior Data Analyst you are part of Product Management Team in Software Engineering Department. You shape the department’s analytics roadmap, turning complex data into actionable insights for improving engagement and retention for WMDE’s Linked Open Data portfolio of products. In close collaboration with another Data Analyst you equip Product Managers with scalable tools and dashboards to inform strategy and decisions within product teams that align with our product and organizational goals.

• Co‑develop and drive the analytics roadmap in close collaboration with product teams, ensuring alignment with product and organizational goals and identifying opportunities to scale insights, automate analysis, and address technical debt.
• Partner with Product Managers and Engineers to define success metrics, measure feature and product impact, and provide actionable insights that inform strategy and decision‑making.
• Design, implement, and maintain dashboards, documentation, and training materials to empower stakeholders with easy access to key metrics and foster a culture of self‑service data literacy.
• Champion data‑informed practices across the department, working proactively with cross‑functional teams to ensure insights are translated into impactful business and product decisions.
• Establish, document, and enforce analytics standards, coding conventions, metric definitions, and structured data pipelines to ensure consistent, reliable, and reusable data across all teams.
• Support ad‑hoc analyses, retrospective evaluations (of product releases or experiments), and represent the analytics function in cross‑team initiatives, ensuring analytics insights inform both strategic and operational priorities.

• Senior‑level experience as a Data Analyst for software or tech products, ideally in a mission‑driven product development environment.
• Strong awareness of data privacy, ethics, and responsible data use in public‑interest technology contexts and an understanding of free and open data ecosystems and community‑centered design.
• Proficiency in SQL, data visualization tools (e.g. Superset, Turnilo, Looker), and scripting languages such as Python or PHP.
• Experience with web and event‑based analytics platforms (e.g. EventLogging, Hadoop, Druid) and version‑controlled environments (e.g. Git/Gerrit).
• Expertise in defining, measuring, and interpreting product metrics as well as KPI hierarchies, and experimentation frameworks (including A/B testing) to support strategic decision‑making.
• Strong abilities in translating complex data into clear narratives and actionable insights for diverse audiences, including Engineers, Product Managers, and non‑technical stakeholders.
• Strong prioritization and self‑management abilities as well as strong communication skills in English and collaboration skills.

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