Senior Data Engineer (6–12 Month Contract, Extendable)
Summary
Senior Data Engineer on a 6-12 month extendable full-time contract in Paris, designing and maintaining large-scale ETL pipelines and data platforms (warehouses, data lakes, streaming) for a telecommunications client. Core stack: Python/Scala, SQL/PostgreSQL, Airflow, Kafka, Spark on AWS/Azure, with Docker/Kubernetes.
Contract duration: 6 - 12 months, with potential for extension
Location: Paris, France
Engagement: Full-time contract through DevologyX
Suggested Rate: (Negotiable based on experience)
Industry: Telecommunications
Role overview
We are seeking an experienced Senior Data Engineer to join our client’s team in Paris on a full-time contract basis. You will play a key role in designing, developing, and maintaining scalable data pipelines and architectures that support advanced analytics, business intelligence, and machine learning initiatives.
This is an opportunity to contribute to large-scale data engineering projects within an international environment, with the potential for a long-term engagement.
Key responsibilities
- Design, develop, and maintain robust ETL pipelines for large-scale data processing.
- Build and optimise data architectures, including data warehouses, data lakes, and streaming platforms.
- Collaborate with data scientists, analysts, and business stakeholders to ensure reliable and accessible data.
- Maintain data quality, integrity, and compliance with governance and security standards.
- Automate workflows and implement monitoring solutions for data processes.
- Support data migration and integration projects across cloud and on-premises environments.
Requirements
- 5+ years of professional experience in data engineering.
- Strong programming skills in Python or Scala.
- Hands-on experience with SQL and PostgreSQL.
- Experience with ETL tools and data pipeline frameworks such as Apache Airflow, Kafka, and Spark.
- Solid understanding of data warehousing and data lake architectures.
- Experience with cloud platforms such as AWS or Azure.
- Familiarity with Docker, Kubernetes, and CI/CD practices.
- Strong analytical and problem-solving skills.
- Excellent written and spoken English communication skills.
Nice to have
- Knowledge of machine learning and MLOps.
- Familiarity with data governance, GDPR compliance, and security best practices.
- Experience working in large-scale enterprise environments.
- Initial 6-12-month contract, with the possibility of extension.
- Paris-based opportunity.
- Full-time engagement with a leading European client.
- Collaboration with an international technology team.
- Potential for a longer-term engagement.