Data Engineer

Job Description Job Description We're AtkinsRalis, 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. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services company dedicated to engineering a better future for our planet and its people. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors. News and information are available at or follow us on LinkedIn. Our teams take great pride in delivering some of the world's most prestigious projects. This success is driven by our talented people, whose diverse perspectives, expertise, and knowledge set us apart. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise. When it comes to work-life balance, AtkinsRalis is a great place to be. So, let's discuss how our flexible and remote working policies can support your priorities. We're passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Women's Equality and being a Disability Confident and Inclusive Employer. 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. Required Skills & Experience: - 5+ 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. Preferred Qualifications: - Collaborate with data science teams to operationalize ML models using MLOps best practices. - Build and manage CI/CD pipelines for ML workflows, ensuring reproducibility and scalability. - Monitor and maintain model performance, implement retraining strategies, and ensure compliance with security and governance standards. - Familiarity with model monitoring and observability tools. - Exposure to AI/ML lifecycle management in enterprise environments. - Certifications in Data Engineering or MLOps are a plus. Why work for AtkinsRalis We at AtkinsRalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual's abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions. Meeting Your Needs: To help you get the most out of life in and outside of work, we offer employees Total Reward. Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we'll discuss any adjustments you might need. Additional Information: We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. We care about your privacy and are committed to protecting your privacy. Please consult our on our Careers site to know more about how we collect, use and transfer your Personal Data. Link: Worker Type Employee Job Type Regular