EY Lead Data Engineer - Financial Services 

Belgium, Flemish Brabant 

335019654

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) and supporting implementation.
• Lead the design, development, and maintenance of efficient data pipelines.
• Create robust data products that leverage cloud Data platforms such Azure Synapse, Snowflake and Databricks
• 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.
• Define the technology stack, best practices, and standards for data engineering and analytics.
• 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.
• Optimize and fine-tune data processing workflows for performance and reliability.
• Identify and resolve issues within organizations and processes.
• Educate clients and partners about the data analytics landscape.
• 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
• Experience with batch and real-time processing frameworks.
• Expertise in proactive performance monitoring, conducting data quality testing, and troubleshooting performance issues of complex warehouse data tables.
• Experience in assembling data from multiple sources and analyzing and modeling complex datasets.
• Hands-on Experience with production Cloud / DevOps environments and Data Lake, Data transformation, ETL/ELT, and other data concepts
• Practical knowledge of cloud possibilities and limitations in areas like distributed systems, load balancing, networking, massive data storage, and security.
• Solid Experience of leveraging Microsoft Azure ecosystem to manage the development and maintenance of cloud platform operations.
• Understanding of data architecture concepts such as data modeling, Big Data storage, Lambda architecture, data vault, and dimensional modeling, 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.
• Fluent in Dutch and/or French, proficient business English

• 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.