Data Engineer

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.
We are strategically positioned to build value, with a global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centers and unique best-shoring capabilities.
We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

• Identify, analyze, and translate business needs and challenges into AI- and data-driven solutions

• Collect, clean, and prepare data for analysis, modeling, and experimentation

• Design, develop, and deploy machine learning and Generative AI models

• Integrate AI solutions into digital products, APIs, and automated workflows

• Build, operate, and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management

• Experiment with prompt engineering, fine-tuning techniques, and LLM orchestration tools

• Evaluate and continuously optimize models for performance, scalability, reliability, and business value

• Ensure ethical AI practices, data governance, and compliance with regulatory and industry standards

• Communicate findings, insights, and recommendations clearly to both technical and non-technical stakeholders

• Stay up to date with emerging trends, tools, and best practices in AI, machine learning, and data science

• Collaborate closely with cross-functional teams and key stakeholders to deliver impactful business outcomes

• 3+ years of proven experience in machine learning, AI engineering, or data science
• Strong command of Python, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with MLOps tools (MLflow, Docker, FastAPI, Airflow, CI/CD pipelines, or cloud ML services)
• Experience with major cloud ecosystems (Azure, AWS, GCP)
• Solid knowledge of data engineering and software engineering fundamentals
• Familiarity with LLMs, vector databases, and prompt design / orchestration frameworks
• Experience with data visualisation tools (Power BI, Tableau, or Matplotlib)
• Strong analytical mindset and ability to bridge technical and business needs
• Excellent communication and autonomy in problem-solving
• Fluent in FR or NL + strong command of English

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At Expleo, we are committed to providing a competitive salary and substantial benefits offering with unique wellbeing, financial and employee recognition programs.

We pride ourselves on our diverse and inclusive culture and offer a variety of family-friendly policies and enhanced leave to help you achieve a healthy work life balance.

By providing significant learning and development opportunities, we encourage individual growth and success throughout your career with us.

• Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
• We empower all passionate technology-loving professionals by allowing them to expand their skills and take part in inspiring projects
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
• Enjoy a comprehensive benefits package, including hospitalization and outpatient insurance, a pension and group insurance plan, employee wellbeing initiatives, sports and social events, gifts for special occasions, and much more!
• Enjoy meal and eco vouchers to support your daily needs and sustainable purchases
• Receive monthly representation fees to support work-related expenses
• 32 vacation days (20 + 12 for a 40-hour week).
• Mobility package offering flexibility: choose between a company car, full transportation coverage, or a housing allowance.
• Always working as one team, our people are not afraid to think big and question the status quo.
• Flexible homeworking policy – Balance your career and personal life

Our Commitment to Diversity

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”