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EY Data Engineering Manager - Financial Services 
Belgium, Flemish Brabant 
473087686

29.04.2025


Your key responsibilities

As Data Engineering lead, you will have the following responsibilities:

  • Lead clients discussions going from defining the problem, Advising on the solution (Data Architecture, Best practices guidance, technology stack and standards) and supporting implementation.
  • Lead the design, development, and maintenance of efficient data pipelines .
  • Create robust data products that leverage cloud Data platforms such as Snowflake, Databricks , Azure Synapse, Fabric.
  • Use cloud services to build scalable, reliable, and efficient data solutions.
  • Help translate data and analytics requirements into data solutions based on the approved technical designs.
  • Enable test automation and ensure CI/CD pipelines are in good health.
  • Implement monitoring of data applications and track product quality, performance, and stability.
  • Carry out effective technical design reviews to ensure that the right architecture patterns are used by the team.
  • Provide guidance on industry trends, emerging technologies, and best practices.
  • Lead a team of Data Engineers to thrive by promoting teamwork, providing guidance, and encouraging skill enhancement.

Skills and attributes for success

  • Master’s degree in computer science, engineering, mathematics or another relevant subject.
  • Minimum 5+ years’ experience in Data Engineering & Cloud platforms.
  • Fluent in Dutch and/or French, proficient business English.
  • Experience with batch and real-time processing frameworks.
  • Expertise in proactive performance monitoring, conducting data quality testing.
  • Experience in assembling data from multiple sources and analyzing and modelling complex datasets.
  • Hands-on Experience with Cloud data platforms like Snowflake, databricks, fabric.
  • Practical knowledge of cloud possibilities and limitations in areas like distributed systems, load balancing, networking, massive data storage, and security.
  • Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault, and dimensional modelling, Data Fabric and Data Mesh is nice to have.
  • Excellent analytical skills and problem solver.
  • Strong communicator who understands team dynamics, able to support where needed and lead when asked.
  • Experience in leading and coaching technical teams.

What we offer you

  • You will be part of a leading global professional services firm.
  • You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
  • You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
  • You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
  • We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
  • While our client-facing profession might require part-time working at client site and business traveling at times, we are committed to helping you achieve a lifestyle balance.