Senior Analytics Engineer - Consumer Product

Requirements

• 4+ years of relevant analytics/data engineering experience in rapidly growing and dynamic environments
• Solid production-grade experience with workflow management tools (primarily Airflow) and config-driven data build tooling (primarily DBT) to deliver end-to-end data pipelines
• Strong skills in schema design, dimensional data modeling, SQL, and working with large datasets
• Experience with enabling data quality observability, monitoring, and alerting
• Ability to drive and manage medium-scale project initiatives and work with external teams on larger projects
• Basic experience with data visualization tools (Looker, Tableau)
• You aim for clean and well-engineered solutions, while keeping an eye for simplicity and pragmatism
• You are highly passionate about data, with creative problem-solving abilities and an eye for detail
• You have good English communication skills; being able to explain complex technical projects to both technical and non-technical stakeholders
• You take ownership of your tasks and support the team, embracing sharing and collaboration

Nice to Have

• Familiarity with BigQuery and Google Cloud Platform
• Familiarity with data quality tooling (great expectations, Monte Carlo)
• Familiarity with experimentation tooling and techniques (Eppo)
• Python

What You'll Be Doing

• 40% Data Architecture and Engineering
  • Understand data use cases, architect and build reliable, curated data models and associated production pipelines to enable analytical agility and experimentation
  • Optimize large-scale ingestion of backend and frontend events by designing, developing, and maintaining data capture processes
  • Own the DBT + Airflow framework and data quality tooling for product analytics
• 40% Data Management
  • Partner with data foundations team to improve foundational datasets and data infrastructure
  • Build a solid understanding of the company data ecosystem, focusing on discovery and investigation alongside analysts
  • Define and own data quality metrics, configure data quality tools, investigate data quality issues, work with upstream data owners to improve data quality
  • Champion quality data governance and querying through knowledge shares, workflow optimizations, hiring, and onboarding talents
  • Maintain good documentation of our data
• 20% Visualization & Dashboard Maintenance
  • Creation of dashboards (e.g., data quality monitoring dashboard)

Perks and Benefits

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
• 27 days holiday with an extra day on the 2nd and 3rd year of service
• Support for developing yourself and your career growth opportunities, educational budget, language courses, parental support, access to Udemy Business platform
• Health benefits including health checkups, meditation, yoga, gym & bicycle subsidy
• Cash benefits including Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, corporate pension plan
• Food benefits including digital meal vouchers, food vouchers, corporate discounts