Bikeleasing-Service GmbH & Co. KG
(Senior) Analytics Engineer (gn)
datafull-timeWorldwide
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role
About the Company
The Bikeleasing Group has developed into a leading corporate group for employer benefits and mobility solutions. It comprises five specialized companies, including multi-benefit providers, leasing and insurance service providers, and dealers for refurbished bikes. The company is on an exciting technical transformation journey with sustained profitable growth and expansion.
Your Responsibilities
- Own the technical development of the data warehouse, advancing its architecture, data models, and quality standards
- Strategically deploy dbt: modular modeling, tests, documentation, refactoring, and reusable patterns with Jinja while establishing best practices in the team
- Improve performance, scalability, and reliability of the Redshift-based warehouse and help professionalize the platform long-term
- Develop new data pipelines and ensure their clean orchestration and stable operation in Airflow
- Introduce best practices in governance and observability, develop standards for data quality, ownership, monitoring, and documentation, and ensure early problem detection and reliable resolution
Your Strengths
- Multiple years of experience as an Analytics Engineer, Data Engineer, or comparable role with hands-on development of modern data platforms
- Very strong SQL skills, expertise in dbt, data modeling, complex transformations, and performance optimization
- Work according to modern engineering best practices and are curious about pragmatically employing new tools, automations, and AI-driven approaches
- Strong knowledge of cloud data warehouses such as AWS Redshift, Snowflake, or comparable technologies; ideally with experience in Airflow, monitoring, and stable operation of data workflows
- Strong engineer who is curious about business processes, thinks in terms of data products and standards, and is committed to actively shaping governance, quality, and transparency of a data platform
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