Data Engineer

Overview

We are looking for an experienced professional with strong expertise in Data Engineering and MLOps / ML Engineering. This role involves designing scalable data pipelines, ensuring data quality and governance, and enabling end-to-end machine learning model deployment in production environments. You will collaborate with data scientists, architects, and business stakeholders to deliver data-driven solutions that power advanced analytics and AI initiatives.

Your role

• 4+ years of proven experience in Data Engineering.
• Strong expertise in ETL / ELT processes, data modeling, and performance tuning.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, or Azure ML.
• Proficiency in Python and SQL for data processing and automation.
• Experience with cloud platforms, preferably Microsoft Azure (Data Factory, Databricks, Synapse, etc.).
• Knowledge of CI / CD pipelines and version control systems (Git, GitHub Actions, Azure DevOps).
• Familiarity with containerization (Docker, Kubernetes) is a plus.

About you

Reward & benefits

Explore the rewards and benefits that help you thrive – at every stage of your life and your career.

This includes :

Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.