Data Analytics Engineer (m/f/d)
- Design, build, and maintain scalable data warehouse solutions on GCP platforms
- Collaborate with the ML team to enhance and scale our current data infrastructure
- Work directly with business stakeholders, including founders, to translate business needs into data solutions
- Develop and maintain business intelligence dashboards and reports using Looker
- Implement data modeling best practices
- Ensure data quality, reliability, and consistency across all data pipelines
- Optimize data flows and query performance for both internal and external data sources
- Collaborate with engineering teams to integrate various data sources into the data warehouse
- Support data-driven decision-making across the organization
- Document data architecture, data models, and analytics processes
- 2-3 years of professional experience in data engineering, analytics, or a related field
- Strong experience with cloud platforms, particularly GCP and/or AWS
- Proficiency in data warehouse design, implementation, and maintenance
- Hands-on experience with BI tools, especially Looker
- Experience with modern data tools like BigQuery, DBT, Airflow, and Airbyte
- Solid SQL skills and data modeling expertise
- Ability to work with various data sources and integrate them effectively
- Knowledge of Python is a plus
- Excellent communication skills to work effectively with technical and non-technical stakeholders
- Problem-solving mindset and ability to work independently
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About usRENEO is the leading investment and asset management platform in Germany, focusing on decarbonizing and modernizing residential properties.
With over 800 completed projects and over one billion euros in investment volume, RENEO is the German market leader in develop-to-green. The company uses data-driven investment strategies, supported by artificial intelligence and its own software technology, to make and implement investment and transformation decisions within the portfolio that maximize returns.
The investment focuses on acquiring developable multi-family houses with between 10 and 100 units per property and low energy efficiency classes in metropolitan regions. These properties are always acquired to generate long-term value growth through energy-efficient and modern living concepts.