Data Engineer – AI Tools & Platforms

KBC Global Services is the engine behind KBC Group – a leading bank-insurance group with over 41,000 talented employees serving more than 12 million clients across Europe. Since 2021, we have been supporting the digital transformation of KBC Group providing software development, QA, AI, and other IT solutions working on a wide range of projects combining classical IT with digital banking.

Are you passionate about Cloud technologies, AI and MLOps? Do you want to work with modern cloud-native platforms that empower Data Scientists, Analysts and AI initiatives across KBC Group? Are you excited about building scalable solutions, automating workflows and enabling the next generation of data and AI products? Then you’ve come to the right place!

Why us? Because we care. Choosing us, you are choosing work that works for you.

As our Data Engineer, you would have the following responsibilities:

• You will design, build and maintain cloud-native platform services supporting AI models and data solutions;
• You will help manage and further develop a multi-user Jupyter environment and cloud-based development platforms;
• You will build and maintain frameworks for training, storing, serving and monitoring machine learning models;
• You will automate data processing and model lifecycle workflows using modern MLOps practices;
• You will manage cloud infrastructure and platform services running on AWS;
• You will collaborate closely with engineers, architects and stakeholders across multiple countries within KBC Group;
• You will ensure platform reliability, scalability, security and cost-efficiency;
• You will contribute to the continuous evolution of our cloud and MLOps ecosystem.

Key competences that will help you succeed:

• Working experience with the following technologies: Python, AWS, Docker, Kubernetes, Terraform, CI/CD tools (e.g. Jenkins or GitHub Actions), Spark and Airflow;
• Experience working with cloud infrastructure and platform engineering;
• Understanding of DevOps, Data Engineering and MLOps concepts;
• Ability to automate, monitor and optimize cloud-based solutions.

You are a perfect fit for us if:

• You are eager to learn and have an open mind towards new tools, technologies, processes and ways of working;
• You have a strong interest in Cloud, Data and AI technologies;
• You are a team player who enjoys collaborating in an international environment;
• You can communicate effectively with technical and non-technical stakeholders;
• You take ownership and proactively drive initiatives forward;
• You have strong analytical and problem-solving skills;
• And above all you have a lot of common sense.

A significant advantage would be to have:

• Experience with MLOps platforms and machine learning model deployment;
• Knowledge of Generative AI technologies and AI platform services;
• Experience supporting large-scale data science environments and analytical platforms;
• Experience working with Jupyter-based platforms and cloud IDE environments.

If you find this job opportunity interesting and you recognize yourself in the above, apply via the button with your CV in English.