DATA ENGINEER (mf/d)
Schwarz Group2 months ago
Sofia, BulgariaSenior
Responsibilities
- Build scalable, production-ready APIs using Python and Java.
- Develop ETL pipelines and CI/CD pipeline and data product templates.
- Optimize Databricks and PySpark jobs and code.
- Apply monitoring capabilities and provide debugging support for data teams.
- Deploy open-source tools on cloud platforms.
- Support data engineering best practices, technical knowledge exchange, and community communication.
- Translate business requirements into data-driven solutions and collaborate with stakeholders.
Requirements
- Expertise in Python and SQL; Java is beneficial.
- Experience building ETL pipelines.
- Expertise with Docker and Kubernetes.
- Expertise with Databricks and PySpark, including job and code optimization.
- Expertise with GCP, StackIT, and Azure.
- Demonstrated stakeholder communication and management abilities.
- Good understanding of related data disciplines such as MLOps engineering and analytics.
- Very good English skills; German is a plus but not required.
Benefits
- Career growth in an international team of experts.
- Opportunities to work across technological services supporting the Schwarz Group, including sovereign cloud and AI initiatives.
Tech Stack
Categories
Data Engineering
About Schwarz Group
Schwarz Group is a German retail group that owns and operates the Lidl and Kaufland grocery chains, plus production and waste-management businesses (Schwarz Produktion and PreZero). Through its digital arm Schwarz Digits it builds and runs IT, cloud, data, and security services for its brands and external clients, and offers retail media solutions via Schwarz Media. Headquartered in Neckarsulm, it is privately held and active across Europe and beyond.