Digital to and from core is the DNA of Colruyt Group. We have been pioneering in adapting IT technologies from the advent of IT revolution. Digital Transformation is core element to realize Colruyt Group Strategic Plan. Colruyt Group has an ambition become no1 retailer in Europe in terms of using data. As a head of Data Science Engineering team in Colruyt-India you will be a key member of our Data Science team, enable Colruyt Group to build processes to realize the Data ambition. You will be collaborating with multiple stake holders involving Business, Project Managers, and Software Engineers, Data Scientists. You will have an opportunity to work with culturally diversified group of individuals. You will be contributing to defining and embedding Service Operating Model, Making Agreements with Business, and establishing long term relationship with stake holders. We are looking for an individual with Passion, Innovation, out of the box thinking to join our team Responsibilities Identify, design, and implement internal process improvements automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Infrastructural thinking in the design and architectural integration / optimization of the analytical platforms and related (Data Reservoir) Determine upgrades and improvements to current data architectures Together with the Business Analyst, the Data Scientist and the contact persons at specific business partners, responsible for building and prioritizing a long-term analytical roadmap Thinking along and developing E2E automated AI platforms (and everything needed for this) to build insights and bring them to the customer in an insightful and efficient way Support the Data Scientists in translating their needs into specific research questions and hypotheses that can be addressed in a data science project (trajectory) Rigorous in the control and stability and reliability of the produced code that must be output correctly Responsible for the delivery and follow-up of the analytical solutions within the lifecycle management Coaching/Training team members on data engineering processes Profile Should have 10 years of experience in Database/DWH background and at least 4 years of experience in Data engineering with Python (pandas, NumPy..etc.) Should be proficient in understanding databases and expertise in understanding complex SQLs and able to write SQL queries in efficient way Knowledge of the advanced technologies related to big data in order to be able to use the most adequate technology in function of the need Should have experience in version control with Git and has worked on most of the features of it (CI/CD, Git runners, Branch strategy etc.) Software engineering general programming knowledge (including code testing approaches; DRY coding; concepts of software development service oriented; OOPS) Should define & follow the best practices in Data engineering Assemble large, complex data sets that meet functional / non-functional business requirements Our Proposition A challenging role in Data engineering to show case your capability Help realize Colruyt Group vision in becoming Europe number one Data-Driven Organization and enrich your personal experience in technology space and personal development Autonomy, Personal Leadership work life balance are our core group ethos Colruyt Group believes Organization grows to the extent people grows. We invest to enhance craftsmanship of co-workers. This will help you to work on latest and cutting-edge technologies