Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
About the role
- Data Engineer role at Keyrus in Bordeaux, optimizing data pipelines and working on large scale projects. Collaborate in a dynamic team focused on innovation and technological excellence.
Responsibilities
- Participate in large-scale projects by building and optimizing modern data platforms and pipelines.
- Design, develop, and productionize reliable, high-performance data pipelines.
- Integrate structured and unstructured data, in batch and real-time.
- Deploy and optimize cloud data environments (AWS, Azure, GCP).
- Implement and orchestrate ETL/ELT processes (Talend, Airflow, dbt, Fivetran, etc.).
- Work with modern environments such as Databricks, Snowflake, BigQuery, Redshift.
- Ensure data quality, security, and governance.
- Contribute to technology watch and recommend the best solutions for each project.
Requirements
- You are passionate about Data and comfortable in demanding technical environments.
- Languages: Python and SQL (Scala or Java is a plus).
- Frameworks & tools: Spark, Kafka, Databricks, dbt, Airflow.
- Cloud: AWS, Azure, or GCP.
- Databases: relational (PostgreSQL, MySQL) and cloud data warehouses (Snowflake, BigQuery, Redshift).
- ETL/ELT: Talend, Fivetran, or equivalents.
- Bonus: experience in Machine Learning, real-time processing, or data mesh is a real asset.
Benefits
- A team of passionate experts: Join an environment where innovation and excellence are at the heart of every project.
- Large-scale projects: With Keyrus, you will take part in digital transformation and data management missions for large companies—high-impact projects!
- A unique working environment: We value innovation, diversity, and international mobility.
- An inclusive corporate culture: Diversity is our strength and we firmly believe everyone has a role to play in innovation and transformation.
- Our commitment to inclusion: All our positions are open to people with disabilities.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.
VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
Data Engineer responsible for architecting, developing, and maintaining Allegiant’s enterprise data infrastructure. Overseeing transition to cloud hosted data warehouse and developing next - generation data tools.