Senior Data Engineer (6–12 Month Contract, Extendable)

DevologyX; Paris; On-site; EUR 70,000 - 105,000; Full time

Job summary

DevologyX in Paris, France seeks a Senior Data Engineer on a full-time 6-12 month contract. You will design, develop, and maintain scalable data pipelines and architectures to support analytics, BI, and ML initiatives.

You will contribute to large-scale data engineering projects in an international environment, with potential for longer engagement. Fluency in English is required.

Qualifications

• 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.

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.

Skills

Python

Scala

SQL

PostgreSQL

ETL

Airflow

Kafka

Spark

Data warehousing

Data lakes

AWS

Azure

Docker

Kubernetes

CI/CD

English communication

Tools

Airflow

Kafka

Spark

Docker

Kubernetes

CI/CD tooling

Job description

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.