EY Data Engineer - Financial Services 

Belgium, Flemish Brabant 

832611876

Key Responsibilities

As Data Engineer, you will :
• Support in designing and rolling out the data architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Identify data source, design and implement data schema/models and integrate data that meet the requirements of the business stakeholders
• Play an active role in the end-to-end delivery of AI solutions, from ideation, feasibility assessment, to data preparation and industrialization.
• Work with business, IT and data stakeholders to support with data-related technical issues, their data infrastructure needs as well as to build the most flexible and scalable data platform.
• With a strong focus on DataOps, design, develop and deploy scalable batch and/or real-time data pipelines.
• Design, document, test and deploy ETL/ELT processes
• Find the right tradeoffs between the performance, reliability, scalability, and cost of the data pipelines you implement
• Monitor data processing efficiency and propose solutions for improvements.
• Identify and investigate potential data quality issues and explore ways to improve data quality and reliability
• Prepare Ad-Hoc queries for different business stakeholders
• Integrate new data management technologies and software engineering tools into existing structures.
• Be able to understand and use the wide variety of scripting languages and tools to integrate systems.
• Have the discipline to create and maintain comprehensive project documentation.
• Build and share knowledge with colleagues and coach junior profiles.

Skills and Attributes for Success

• Master’s degree in computer science, engineering, mathematics or another relevant subject
• 2+ years of experience in big data related software development
• Experience with data modeling, design patterns and building highly scalable and secured data platforms and infrastructures.
• Practical experience with Python data exploration, analysis and engineering libraries.
• Familiar with big data platforms like appliances (i.e.: Teradata), Hadoop, Spark
• Advanced knowledge of data structures and algorithms, networking, operating systems and DataOps tools.
• Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms
• Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, PostgreSQL), MPP (Snowflake) and NoSQL (MongoDB, Neo4J)
• Experience and interest in Microsoft Azure Cloud platforms.
• Implement pipelines using a combination of technologies, including SQL, Airflow, Python, Alteryx, Kafka, and cloud data tech stack
• Commercial client-facing project experience is helpful
• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
• You love picking your brain on large datasets, and tackle each new problem with a can-do & pragmatic mindset
• You have strong communication and presentation skills and love to take full ownership of your projects and help clients in overcoming their challenges.
• You are fluent in Dutch and/or French, proficient business English
Can we dream for more?
• You have a strong business understanding of the financial sector (Banking, Insurance or Capital markets)
• You are proud to share relevant experience in coaching a team of Junior Data Engineers
• You have already found your way through cloud computing services, such as Azure, AWS or GCP
• You have a good overview of the (big—)data ecosystems and frameworks (Hadoop or other)
• You have experience with lean/agile software development
• You are familiar with NoSQL tools for exploiting unstructured information
• You are not afraid to support of business development and pre-sales activities

• 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.