Data Engineering Manager: Lead Scalable Data Pipelines

Publicis Groupe Holdings B.V; Paris; Sur place; EUR 110 000 - 170 000; Plein temps

Résumé du poste

Publicis Sapient is seeking a data engineering leader to design, implement, and optimize data pipelines and storage architectures. You will lead high-performance teams, drive data quality, and collaborate with data scientists and solution architects.

The role requires deep technology expertise across Spark, cloud platforms, and modern data tools, with a proven track record of delivering large-scale data solutions. Strong communication and leadership skills are essential.

Qualifications

• Hands-on experience with ETL/ELT design and implementation.
• Familiarity with big data ecosystems (Spark, Hadoop, Kafka, Flink).
• Experience with cloud platforms (Azure, AWS, GCP) and modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse).
• Proficiency in programming languages such as Python, Java.
• Solid understanding of SQL and experience with relational and NoSQL databases.
• Experience with data modeling, schema design, and data partitioning strategies.
• Knowledge of workflow orchestration tools (Airflow, Data Factory).
• Some exposure to AI and cloud provider managed AI services is a plus.
• Some exposure to DevOps practices and infrastructure (IaC, containers) 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).
• 7+ years of professional experience in data engineering or related roles.
• Strong teamwork, communication, analytical thinking, and problem-solving skills.
• Fluent in English, both spoken and written.

Responsabilités

• 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.

Connaissances

ETL/ELT design

Big data technologies

Python

Java

SQL

Data modeling

Airflow / Data Factory

DevOps / IaC / containers

Git / CI/CD

Agile leadership

Leadership / teamwork

English communication

Formation

Bachelor's degree in Computer Science, Engineering, or related field

Outils

Spark

Hadoop

Kafka

Flink

Databricks

Snowflake

BigQuery

Synapse

Airflow

Data Factory

Git

CI/CD tooling

Description du poste

Publicis Sapient is seeking a data engineering leader to design, implement, and optimize data pipelines and storage architectures. You will lead high-performance teams, drive data quality, and collaborate with data scientists and solution architects.

The role requires deep technology expertise across Spark, cloud platforms, and modern data tools, with a proven track record of delivering large-scale data solutions. Strong communication and leadership skills are essential.