Data Analytics Engineer (w/m/d) Remote - Munich

Requirements

Must have:

• 3-5 years of relevant professional experience as an Analytics Engineer, Data Engineer, or Senior Data Analyst
• Good SQL skills and high standards for code quality and maintainability
• Sound experience in handling large datasets, data integration, and data quality
• Practical experience with dbt or comparable transformation and orchestration tools
• Experience with cloud data platforms such as Snowflake or BigQuery
• Interest in taking on analytics responsibility and actively contributing to shaping processes
• Confident communication in German (C1) – written and spoken

Responsibilities:

• Responsible for stable, performant ELT processes on modern cloud data platforms
• Develop and operate scalable data pipelines and transformations with dbt
• Ensure high data quality
• Develop data models that directly answer business and control questions
• Work closely with business departments, supporting operational control
• Independently identify relevant deviations and trends
• Advise internal stakeholders on data-related issues and translate requirements into sustainable analytics solutions
• Share knowledge within the team and establish best practices
• Create technical documentation for efficient use of data products
• Solve challenges pragmatically and solution-oriented, independently or together with the community

Company:

We are Germany's largest bank-independent full-service provider in the real estate valuation industry and a wholly-owned subsidiary of Hypoport SE. With us, you have the opportunity to help shape a future-oriented company and write your own VALUE story. We offer an indefinite employment contract, thorough onboarding, support for your personal development, and a good Work Life Learn balance through mobile working and great benefits such as 30 days of vacation, JobRad, company pension plan subsidy, and team events. You decide whether you work at our locations in Leipzig, Berlin, or remotely throughout Germany.

Benefits:

• Pension Plan
• Team Events