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Job content

Profile:

· You have a master’s degree in a quantitative oriented discipline: data science, computer science, geography, engineering, mathematics, statistics, economics or related field.

· Expert knowledge in:
o Python (and data wrangling libraries like Pandas).
o SQL (Postgres, Hive, SparkSQL).
o Data analysis.

· Solid knowledge & experience in:
o Cloud: Azure stack, Databricks, ADF, API’s.
o Big Data: Hadoop, Spark, Hive, HDFS.
o Software engineering: Linux, GIT, JIRA.
o Risk assessment on privacy flaws in data and understanding and caring about the privacy rules and legislation, internal and external.

· Nice to have knowledge & experience in:
o Mobile networks or telecom.
o Geo-Spatial Analytics: QGIS, Postgis, geo Python libraries.
o Visualisation tools: viz Python libraries or dashboarding software like Cumul.io or PowerBI.
o Experience with the Airflow scheduling software.
o Machine Learning capabilities (we currently have use cases in anomaly detection and clustering).

· You have a good mix of technical / IT skills (to dig into large volumes of (un)structured data) and business skills (to understand requirements of marketing, product management, strategy).
· You can bridge data, technology and business questions.
· You love researching, measuring, analysing and quantifying things. You spontaneously look for patterns in data. You like precision but you are not afraid to make an educated guess.
· You are good at visualizing data and making impactful presentations. You can easily express your ideas in writing or in meetings, also to non-data experts.
· You are a team player and you stay cool under pressure in peak times.
· You allocate your time efficiently and can manage several projects in parallel.
· You are fluent in Dutch, English and have a minimum base of French.

Job Type: Full-time

Schedule:

  • Day shift
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Deadline: 31-12-2025

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