Data Engineering - Senior Manager

Stellenbeschreibung:

Overview

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.

Leistungen / Benefits

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

Verantwortungsbereiche

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

Zentrale Anforderungen

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