Data engineer

Braine L'Alleud
Database, DWH and BI

Advanced Analytics and AI are high on the agenda at the client and we are looking to strengthen our internal team of AI experts with a particular focus on sales & marketing.
In this context we are looking for an outstanding data engineer proficient with Python & Spark to contribute to the development of analytics workflows focused on insights generation, prescriptive analytics and decision support apps.


• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing their results
• Help to drive the analytical scope and method for projects, including formulating and shaping data integration, analytics methods and novel visualizations
• Utilizing a diverse array of technologies and data science toolsets as needed, primarily Python & Spark, but also Scala, Neo4j, Azure, R, Docker, AWS, Databricks, Qubole…
• Communicate ideas, approaches and results with peers and stakeholders

Technical skills

- Mastery of Python, Pandas and Spark to create pipelines for data scientists to use
- At least 3 years of intensive hands-on experience as a full-stack Python data engineer: Python, Spark, Pandas, NumPy, SciPy, visualization (matplotlib), machine learning (scikit-learn) …
- Good experience in multiple database technologies: SQL, Graph Databases (Neo4J)
- Advanced degree in a relevant discipline such as: Statistics, Applied Mathematics, Operations Research/Optimization, Computer Science, Computational/Theoretical Physics, Data Science/visualization, Machine Learning, Electrical/Computer Engineering or Health Sciences (e.g. Bioengineering /Bioinformatics)
- Experience in extracting, cleaning, preparing and modeling data. Experience with command-line scripting, data structures, and algorithms.

Contact name
David Van Hooydonck
Contact email

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