Data Engineer

Overview

Expleo is your transformative partner in technological innovation. As a cutting edge global engineering, technology, and consulting service provider, we empower talented professionals to drive groundbreaking solutions and shape the future of 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.

Responsibilities

• 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
• Pioneer innovative approaches through advanced prompt engineering, state-of-the-art fine-tuning techniques, and cutting-edge 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
• Be at the forefront of technological evolution by continuously exploring, researching, and mastering emerging trends, revolutionary tools, and industry-defining best practices in AI, machine learning, generative AI, and advanced data science technologies
• Collaborate closely with cross-functional teams and key stakeholders to deliver impactful business outcomes

Qualifications

• 3+ years of proven experience in machine learning, AI engineering, or data science
• Advanced proficiency in Python, SQL, and cutting-edge AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), with a proven track record of innovative implementations
• Experience with MLOps tools (MLflow, Docker, FastAPI, Airflow, CI/CD pipelines, or cloud ML services)
• Proven experience with enterprise-scale cloud ecosystems and advanced cloud AI/ML services (Microsoft Azure, Amazon Web Services, Google Cloud Platform)
• 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
• Exceptional ability to communicate complex technical concepts clearly and demonstrate independent, creative problem-solving skills in high-pressure environments
• Fluent in FR or NL + strong command of English

Benefits

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 transportatio