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Data Engineer

  • skeyes
Steenokkerzeel, Belgium
Full-time
Published:
  • skeyes
Steenokkerzeel, Belgium
Full-time
Published:

Are you passionate about handling raw data towards ready made datasets? Do you thrive in a dynamic and innovative environment? If so, skeyes is looking for a talented Data Engineer to join the Operationnal Data Services department. As a Data Engineer at skeyes, you will play a crucial role in designing, developing, and maintaining the data architecture that powers our organization's decision-making processes.

WHAT DOES A DATA ENGINEER AT SKEYES DO:

  • Develop scripts leveraging internal and external APIs to ingest raw data;

  • Transform and model raw data in accordance with skeyes’ business rules;

  • Ensure data quality at each step of the process;

  • Develop internal package to ease internal development;

  • Set up CI/CD pipeline to automate and robustify the delivery process;

  • Schedule and monitor data pipeline;

  • Contribute to the skeyes’ data warehouse creation;

  • Enable internal self-service data;

  • Gather technical and business information from the skeyes collaborators;

  • Collaborate with IT department for infrastructure purposes;

  • Provide support in data governance and data quality initiatives, ensuring compliance with data standards, security protocols, and privacy regulations;

  • Be part and an agile team composed of BI analysts and Data engineers.


WHAT MAKES YOU THE IDEAL DATA ENGINEER:

  • Master’s degree in computer science, software engineering, Data engineering;

  • 3 to 5 years’ experience as a Data Engineer/Software Engineer;

  • Strong Python development abilities;

  • SQL capacity to develop complex queries;

  • Ability to work with a DevOps platform (version control, CI/CD);

  • Experience in the cloud, preferably Microsoft Azure;

  • Experience in Databricks or Snowflake is a plus;

  • Air Traffic Management knowledge is a plus;

  • Ability to handle highly confidential data with integrity and maintain a high level of trust and professionalism;

  • Focus on data accuracy, quality and integrity, paying attention to the smallest details;

  • Strong problem-solving skills to analyse complex situations and provide actionable insights and recommendations.

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