
Data Engineer
Keyrus
full-time
Posted on:
Location Type: Hybrid
Location: Bordeaux • France
Visit company websiteExplore more
Tech Stack
About the role
- Take part 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, both batch and real-time.
- Deploy and optimize data environments on the Cloud (AWS, Azure, GCP).
- Implement and orchestrate ETL/ELT processes (Talend, Airflow, dbt, Fivetran, etc.).
- Work with modern platforms such as Databricks, Snowflake, BigQuery, and Redshift.
- Ensure data quality, security, and governance.
Requirements
- Strong technical expertise in data ingestion, processing, and optimization.
- Proficiency in Python and SQL (Scala or Java is a plus).
- Experience with frameworks and tools: Spark, Kafka, Databricks, dbt, Airflow.
- Familiarity with Cloud environments: AWS, Azure, or GCP.
- Databases: relational (PostgreSQL, MySQL) and cloud data warehouses (Snowflake, BigQuery, Redshift).
- ETL/ELT experience: Talend, Fivetran, or equivalents.
- Bonus: experience in Machine Learning, real-time processing, or data mesh is a strong advantage.
Benefits
- A team of passionate experts: Join an environment where innovation and excellence are at the heart of every project.
- Large-scale projects: At Keyrus, you will work on digital transformation and data management initiatives for major 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data ingestiondata processingdata optimizationPythonSQLSparkKafkaETLELTMachine Learning