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
- team leadership
- communication
- analytical thinking
- ETL/ELT design and implementation
- Spark
- Hadoop
Data Engineering - Senior Manager in Wiesbaden Arbeitgeber: Publicis Media
Publicis Sapient ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten, das auf digitale Transformation spezialisiert ist. Mit einem starken Fokus auf Vielfalt und Zusammenarbeit fördert das Unternehmen eine inklusive Kultur, die kontinuierliches Lernen und persönliche Entwicklung unterstützt. Die Mitarbeiter profitieren von flexiblen Arbeitszeiten, einem wettbewerbsfähigen Vergütungspaket sowie umfassenden Gesundheitsleistungen, was zu einer ausgewogenen Work-Life-Balance beiträgt.
