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# Data Engineering - Senior Manager

- **Company:** Publicis Groupe
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Continuous Integration, Data as a Services, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Apache Hadoop, Python (Programming Language), Software Tools, SQL Databases, Data Streaming, Test Data, Test Management, Unstructured Data, Google Cloud, Data Storage Technologies, Snowflake, Apache Spark, Git, Information Technology, Apache Flink, Deployment Automation, Apache Kafka, Non-relational Database, Data Management, Azure Synapse Analytics, Software Version Control, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.adzuna.de/details/5842743026

## About the Role

As a Senior Manager Data Engineer, you will lead a team and create technology products that help people have the best experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products.
The ideal candidate brings deep technical expertise across multiple technologies, a strong
track record of delivery, and proven experience in building and leading high-performance
engineering teams., ? Hands-on experience with ETL/ELT design and implementation
? Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
? Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data
engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
? Proficiency in programming languages such as Python, Java
? Solid understanding of SQL and experience with both relational and non-relational
databases
? Experience with data modeling, schema design, and data partitioning strategies
? Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus
? Experience with version control (e.g., 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 the Energy and Commodities or Financial Services sector is a plus

## Description

? 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


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