Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Data Engineer responsible for designing ETL pipelines in a hybrid setup. Join Sunfire in contributing to sustainability through innovative data solutions in Dresden.
Responsibilities
- Designing and monitoring the data landscape
- Designing, implementing and operating ETL/ELT pipelines in Databricks
- Modeling data and documenting data flows
- Building and maintaining Grafana dashboards for monitoring
- Orchestrating workflows and automating processes (CI/CD)
- Performing regular data quality checks
- Collaborating with business units and IT
Requirements
- Degree in engineering, computer science or relevant professional experience
- Advanced experience with Databricks
- Proficiency in SQL, warehouses, jobs, streams, security/RBAC and performance optimization
- Knowledge of ETL/ELT engineering and scalable data pipelines in dbt
- Familiarity with Grafana and building dashboards as well as alerting systems
- Strong skills in Python and SQL
- Responsibility for stable and reliable operations
- Systematic and quality-oriented way of working
- Fluent German and good English, both written and spoken
- Experience with the operational support of MES systems is an advantage
Benefits
- Varied and challenging work on a future technology
- Access to the Sunfire Academy with a wide range of training for professional development
- Regular feedback and development discussions
- Support from colleagues during the onboarding phase
- Flexible working hours and the possibility to coordinate your daily work with your manager
- 30 days of vacation and generous leave arrangements
- Subsidy for a DVB monthly pass and/or company bike leasing (JobRad)
- Employer contribution to occupational pension scheme of up to 20%
Job title
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Degree requirement
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