Senior Data Engineer (m/w/d)
Hybrid, München, Frankfurt, Berlin, Leipzig, Essen, Nürnberg
R
EUR 60K-84K (estimate) Mid-level Full Time
Tasks
- Assess data quality and perform data cleansing transformations
- Conception and build Big Data analytics platforms
- Coordinate project planning and execution
- Design and implement data models
- Develop, execute, and scale data pipelines on cluster architectures
- Participate in engineering community
- Provide data for dashboards API backends statistical analyses and AI systems
- Select technologies for Data Analytics use cases
- Set up infrastructure applications and DevOps workflows with IaC and CI CD
- Support Data Science team for model development deployment productionalization and operationalization
Perks/Benefits
- Coaching
- Corporate benefits
- Deutschlandticket subsidy
- Fitness facilities
- Flexible working hours
- Hybrid work
- JobRad bike leasing
- KiTa subsidy
- Meditation support
- Onboarding
- Training
- Work-life balance
- Workation
- Workplace wellness programs
Skills/Tech-stack
AWS | Apache Hudi | Apache Iceberg | Azure | CI/CD | Data Engineering | Data Modeling | Data Quality | Data engineering pipelines | Databricks | Delta Lake | Engineering Pipelines | GCP | Git | Infrastructure as Code | Java | MySQL | PostgreSQL | Python | Relational databases | Scala | Snowflake | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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