Expert Sofware Engineer (data Science) Job in Colruyt Group

• Overall 8+ years of experience

• Hands-on experience in Python
• Excellent SQL skills
• Experience in SAS ,R
• Experience in Java/Java script
• Experience in Big Data technologies (Hadoop,Spark ,Scala,Kafka)

• To have expert knowledge of the data structures and to be able to build data flows and data sets for analysis.
• Can be creative to transform new analyzes of Data Scientists into more widely deployable and robust structures for analytical solutions. Has intuition about when this can yield added value.

• General understanding of Data Science projects and workflows
• Strong technical knowledge in areas such as:
  • Data architectures / database systems
  • Specifically Linux / Unix as operating system database systems
  • Distributed computing concepts in a data science context (eg avro; parquet; ... )
  • Computer networks
  • Software engineering: general programming knowledge (including code testing approaches; DRY coding ; concepts of software development service oriented)
  • Service development (building and maintaining APIs and interactive dashboards
  • Knowing and mastering the open source mentality
  • Version control (eg Git knowledge / gitlab runners / branching strategy
  • 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
  • To be aware of the 'best practices' in data engineering

Business aware data science engineering:

• 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.
• Together with the Buniness Analyst, the Data Scientist and the contact persons at specific business partners, responsible for building and prioritizing a long-term analytical roadmap.
• Support the Data Scientists in translating their needs into specific research questions and hypotheses that can be addressed in a data science project (trajectory).
• Responsible for the correct handling of the structure of an analytical base table.
• Responsible for making the results of the analyzes correctly available
• 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.
• Responsible for general support for my business partners in order to guide them on the path of data integration and data ownership.
• Jointly responsible for the quality of the work and the professionalism of my team members.
• Contact with business partners to identify business opportunities and priorities; building a good customer relationship
• Translate business opportunities and priorities into data architecture
• Collecting, understanding and integrating data in the context of supporting business opportunities
• Making basic analytical tables that can serve as input for performance watch actors.
• Making the results available to the performance watch actors using techniques for data manipulation and techniques for visualization.
• Making available and maintaining Analytical platforms and the solutions built on them.
• Work closely with Data Scientists to industrialize data science solutions by supporting the entire Data Pipeline and integration
• Apply techniques of software engineering in data preparation, apply quality control of data science solutions
• Industrialization of algorithms in processes
• Infrastructural thinking in the design and architectural integration / optimization of the analytical platforms and related (Data Reservoir)