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Data Engineer - Manager / Specialist

Publicis Groupe Holdings B.V. · Paris

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

Description du poste

About the role

Publicis Sapient, a technology company that builds its own enterprise AI platforms and services, is looking for a Data Engineer manager or specialist in Paris. The role leads a team and creates technology products that improve people's experiences, combining deep technical expertise with a strong track record of delivery and 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 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)
  • Fluent English, spoken and written
  • Strong teamwork, communication, analytical thinking and problem-solving skills
  • Experience with ETL/ELT design and implementation

Required skills

  • Familiarity with big data ecosystems such as Spark, Hadoop, Kafka and Flink
  • Cloud platforms (Azure, AWS, GCP) and tools such as Databricks, Snowflake, BigQuery and Synapse
  • Programming in Python and/or Java
  • Solid SQL knowledge and experience with relational and non-relational databases
  • Data modeling, schema design and data partitioning
  • Version control (Git) and CI/CD; Agile and test management basics
  • Plus: workflow orchestration (Airflow, Data Factory), AI platform exposure, DevOps practices

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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Publicis Groupe Holdings B.V.

Paris