Data Engineering Manager - Financial Services

The opportunity

EY Belgium Modern Data Platform team supports our clients in defining and rolling out the right data architecture, data platform and infrastructure that support their needs, implement and maintain automated data pipelines, and infuse data through business intelligence and analytics. We are currently looking for a Data Engineer to lead the team and performing business development with other team leaders.     

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.

Are you ready to shape your future with confidence? Apply today. 

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.