Data Engineer at Concept Reply developing innovative data - driven solutions in IoT. Collaborating with teams to unlock the potential of data and cloud computing.
About the role
- Data Engineer at Keyrus responsible for building and optimizing data pipelines for major projects. Contributing to data solutions and ensuring data quality in a growing team.
Responsibilities
- 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, Redshift
- Ensure data quality, security, and governance
- Keep up with emerging technologies and recommend the best solutions for each project
Requirements
- You have strong proficiency in:
- - Languages: Python and SQL (Scala or Java are 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 with Machine Learning, real-time processing, or data mesh is a strong plus.
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 assignments for major companies—high-impact projects!
- A unique work 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
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