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 SQL’s 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