Data Engineering - Senior Manager

In this role, you lead a data engineering team to design and deliver scalable data pipelines and services. You’ll work across data science, architecture, and product teams to ensure clean, accessible data for analytics and decision-making. You’ll drive the implementation of high-performance pipelines and governance to support enterprise-scale data initiatives. This is an opportunity to shape data architectures in a client-focused, collaborative environment and impact how organizations unlock value from their data.

• inclusive workplace
• continuous learning opportunities
• competitive compensation
• flexible work arrangements
• comprehensive health benefits
• generous paid leave and holidaysenriching wellness program and employee assistance

• Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
• Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
• Work with big data technologies and distributed systems to process and transform large datasets
• Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
• Partner with data scientists and analysts to deliver clean, well-structured, and accessible data
• Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems
• Automate provisioning, deployments, and environment management for data platforms
• Create and support APIs and data services for internal and external consumers
• Ensure solutions meet requirements for scalability, performance, data quality, and governance

• Hands-on ETL/ELT design and implementation
• Familiarity with big data ecosystems (Spark, Hadoop, Kafka, Flink)
• Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse)
• Proficiency in Python and Java; strong SQL and experience with relational and non-relational databases
• Experience with data modeling, schema design, and data partitioning strategies
• Knowledge of workflow orchestration tools (Airflow, Data Factory) is a plus
• Experience with version control (Git) and CI/CD practices
• Familiarity with Agile development methodologies and test management basics
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 8+ years of professional experience in data engineering or related roles
• Strong teamwork, communication, analytical thinking, and problem-solving skills
• Fluent in German, both spoken and written
• Curiosity and drive to continuously learn, adapt, and share knowledge
• Background in Energy and Commodities or Financial Services sector is a plus

• team leadership
• communication
• analytical thinking
• ETL/ELT design and implementation
• Spark
• Hadoop