Staff Analytics Engineer

vor 4 Wochen


Berlin, Berlin, Deutschland Delivery Hero Vollzeit

We are seeking a highly skilled Staff Analytics Engineer to join our Consumer Product tribe at Delivery Hero. As a key member of our analytics team, you will play a crucial role in enabling shorter time to insights, improving data trustworthiness, and enhancing self-serve capabilities for both analysts and end-users.

This is a hybrid role that requires a strong growth mindset, excellent problem-solving skills, and the ability to drive medium-scale project initiatives. You will work closely with cross-functional squads and tribes to identify root causes of analytics pain points, propose solutions, and implement quick fixes to unblock the business.

Key responsibilities include:

  • Proactively identifying analysts' pain points and understanding data use cases
  • Creating an analytics data blueprint and execution plan with analytics managers
  • Designing and implementing data models, working with data engineers to productionize models that reduce time to insights
  • Improving the setup of our DBT and Airflow framework for analytics use cases

Additionally, you will:

  • Create a data quality monitoring, alerting, and resolution strategy
  • Participate in data steering committee meetings and work with external data stakeholders to address data quality issues
  • Champion quality data governance and create data processes that improve data governance while balancing business agility

Requirements include:

  • 4+ years of relevant analytics/data engineering experience in rapidly growing and dynamic environments
  • Solid production-grade experience with workflow management tools and config-driven data build tooling
  • 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

Preferred qualifications include familiarity with BigQuery, Google Cloud Platform, data quality tooling, experimentation tooling, and Python.



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