drjobs (Senior) Analytics Engineer (f/m/d)

(Senior) Analytics Engineer (f/m/d)

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Job Location drjobs

Hamburg - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

ZEAL Network SE is a leading international provider of online lottery products operating for over 20 years with brands like LOTTO24 and Tipp24. As Germanys largest digital lottery operator and a trusted partner of Spains ONCE we are passionate about shaping the future of lottery experiences.

LOTTO24 is Germanys leading online provider of state-licensed lottery products offering customers convenient and secure access to popular games like LOTTO 6aus49 Eurojackpot and GlcksSpirale. As a trusted partner of the state lotteries LOTTO24 ensures that every ticket sold helps support charitable social and community projects across Germany. By combining ease of play trusted security and meaningful social contributions LOTTO24 exemplifies ZEALs vision of making lottery participation more accessible while giving back to society.

As our Analytics Engineer (f/m/d) youll build and maintain the data transformation layer that powers decision-making at ZEAL. Sitting at the intersection of data engineering and analytics youll develop scalable well-documented dbt models and reusable assets that empower business and analytics teams to self-serve with confidence. Youll contribute to a high-quality governed data ecosystem that enables accurate insights and scalable growth across domains.

Your tasks:

  • Build shareable and reusable dbt models and data assets for analytical use cases.

  • Implement data transformations that align with business objectives and key metrics.

  • Maintain and optimize the semantic layer to support self-service analytics and reporting.

  • Ensure data quality and consistency through validation checks documentation and monitoring.

  • Manage and maintain domain-specific data marts ensuring they are accurate accessible and trusted.

  • Define and uphold data contracts for owned data assets ensuring stability for downstream users.

  • Proactively monitor pipelines to identify and resolve data quality issues.

  • Collaborate with Program Managers analysts and engineers to align infrastructure with business needs.

  • Support integration of external data sources (e.g. ) into the analytics ecosystem.

  • Apply and enforce data governance standards for secure and compliant data usage.

  • Participate in knowledge-sharing initiatives and contribute to our Analytics Engineering Guild.

  • Continuously optimize dbt models and performance of shared data assets.

What you offer us:

  • 2 years of experience in analytics engineering data modeling or data transformation.

  • Hands-on experience with dbt SQL and modern data warehouses (e.g. Snowflake Redshift BigQuery).

  • Familiarity with data integration tools and cloud-based ETL/ELT frameworks.

  • Strong understanding of data contracts governance principles and semantic layer design.

  • Proven ability to build efficient scalable and maintainable data transformation pipelines.

  • Comfortable collaborating across technical and non-technical teams.

  • Strong communication skills and a problem-solving mindset.

  • Passion for creating clean reliable and reusable data assets that empower others.

  • Python skills would be beneficial.

What we offer:

Sounds exciting Great! Were looking forward to receiving your online application.

Employment Type

Full-Time

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