Data Engineer role focused on creating and monitoring data pipelines in an innovative energy company. Collaborate with IT and departments to ensure quality data availability in a hybrid work environment.
Responsibilities
Design and monitoring of the data landscape
Design, implementation and operation of ETL/ELT pipelines in Databricks
Modeling and documentation of data flows
Building and maintaining Grafana dashboards for monitoring
Orchestration of workflows and automation of processes
Performing data quality checks
Collaboration with business units and IT
Requirements
Degree in engineering, computer science, or relevant professional experience
Advanced experience with Databricks, SQL, warehouses, jobs, streams, RBAC, and performance optimization
Extensive knowledge in ETL/ELT engineering with dbt and orchestration
Familiarity with Grafana for creating dashboards and alerting systems
Strong skills in Python and SQL
Systematic, quality-oriented working style and the ability to identify automation opportunities
Fluent German and good English skills, both written and spoken
Experience in the operational support of MES systems and knowledge of complex bills of materials is a plus
Benefits
Energy transition: varied and challenging work on a future technology
Development & recognition: professional development through the Sunfire Academy
Regular feedback and development discussions
Support during the onboarding phase from colleagues
Flexible working arrangements between home office and office, if needed
Sport breaks through running meetups and yoga classes
30 days of vacation with generous holiday policies
Subsidy for a DVB monthly pass or Deutschlandticket and/or company bike leasing (JobRad)
Contribution to the company pension plan of up to 20%
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