Data Engineer - Manager/Specialist

Publicis Groupe; Paris; Sur place; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Inclusive workplace

Learning and development opportunities

Competitive compensation and benefits

Health benefits and paid leave

Résumé du poste

Publicis Sapient is seeking a senior data engineering leader to design and deliver data pipelines and platforms. You will guide high-performance teams across Spark, Hadoop, Kafka, and cloud data services, enabling scalable, high-quality data for analytics and product teams.

You will collaborate with data scientists, modelers, and architects to ensure robust data flows, governance, and enabling APIs for internal and external use. Fluent English required.

Qualifications

• 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 Python and Java.
• Strong SQL knowledge with relational and non-relational databases.
• Experience with data modeling, schema design, and data partitioning.
• Knowledge of workflow orchestration tools (Airflow, Data Factory) is a plus.
• Exposure to AI services and cloud managed AI offerings is a plus.
• Experience with DevOps practices and IaC, containers, cloud infra is a plus.
• Version control (Git) and CI/CD practices.
• Familiarity with Agile methodologies and test management basics.
• Bachelor's degree in CS/Engineering or related field; 7+ years of experience.

Responsabilités

• 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 architects for efficient data flows.
• Partner with data scientists to deliver clean, well-structured data.
• Coordinate with integration teams for smooth ingestion from multiple systems.
• Automate provisioning, deployments, and environment management for data platforms.
• Create and support APIs and data services for internal and external consumption.
• Ensure solutions meet scalability, performance, data quality, and governance.

Connaissances

ETL/ELT design

Big data ecosystems

Cloud platforms

Python

Java

SQL

Data modeling

Workflow orchestration

CI/CD

Agile

Data governance

Formation

Bachelor's degree in Computer Science/Engineering

Outils

Spark

Hadoop

Kafka

Flink

Databricks

Snowflake

BigQuery

Synapse

Airflow

Data Factory

Git

Description du poste

Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Overview

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.

Responsibilities

• 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

Qualifications

• 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


• Some exposure to AI and agentic platforms, and familiarity with cloud providers' managed AI services (e.g., Azure AI Foundry, AWS Bedrock, Vertex AI), is a plus


• Some exposure to DevOps practices and infrastructure (e.g., IaC, containers, cloud infrastructure) 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)


• 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


• Curiosity and drive to continuously learn, adapt, and share knowledge

Additional information

• An inclusive workplace that promotes diversity and collaboration.


• Access to ongoing learning and development opportunities.


• Competitive compensation and benefits package.


• Flexibility to support work-life balance.


• Comprehensive health benefits for you and your family.


• Generous paid leave and holidays.


• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.