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Senior Manager Data Engineer

Publicis Sapient · Berlin

Neu
Senior 🇬🇧 English
ETL/ELT Spark Hadoop Kafka Flink Azure AWS GCP Databricks Snowflake BigQuery Synapse Python Java SQL Airflow Git CI/CD

Stellenbeschreibung

About the role

Publicis Sapient, a technology company that builds its own enterprise AI platforms and services, is looking for a Senior Manager Data Engineer in Berlin. The role leads a team and creates technology products that improve user experience. The ideal candidate combines deep technical expertise, a strong track record of delivery and proven experience building and leading high-performance engineering teams.

Key responsibilities

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

Required profile

  • Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience)
  • Strong professional experience in data engineering or related roles
  • Fluent German, spoken and written
  • Background in Energy and Commodities or Financial Services is a plus

Required skills

  • Hands-on ETL/ELT design and implementation
  • Big data ecosystems such as Spark, Hadoop, Kafka and Flink
  • Cloud platforms (Azure, AWS, GCP) and tools such as Databricks, Snowflake, BigQuery, Synapse
  • Python and/or Java; SQL and relational and non-relational databases
  • Data modeling, schema design and partitioning strategies
  • Workflow orchestration (Airflow, Data Factory) and version control (Git) and CI/CD are a plus

What we offer

  • Inclusive workplace with ongoing learning and development
  • Competitive compensation and benefits, including health coverage for you and your family
  • Paid leave and holidays, wellness program and employee assistance
  • Flexibility to support work-life balance

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Veröffentlicht vor 4 Stunden

Läuft ab in 1 Monat

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Publicis Sapient

Berlin