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Software Engineer

Netflix - 1d ago

Company Logo

Senior Software Engineer

Reddit - 4d ago

Senior Analytics Engineer - Consumer Product

AI Summary ✨

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
Apply here
Delivery Hero logo

Delivery Hero

Berlin, Germany

Experience: Senior
Posted: July 9, 2025
Gcp
Python
dataengineering

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