Senior Data Engineer - Financial Services

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EY Belgium Data 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 capable and motivated professionals to join our team as Data Engineer.

• Data Pipeline Development:
  Design, build, and maintain robust data pipelines using modern tools like Databricks, dbt, … to facilitate efficient ETL/ELT processes.
• Data Migration:
  Lead and execute data migration projects, ensuring seamless transition of data from legacy systems to new cloud-based platforms while maintaining data integrity and quality.
• Cloud Platform Management:
  Set up, configure, and manage cloud-based data platforms (e.g., Databricks, Snowflake, Azure) to support data, processing, and analytics.
• Collaboration with Stakeholders:
  Work closely with business stakeholders to understand data requirements, provide insights, and ensure alignment between data engineering efforts and business objectives.
• Data Ops Implementation:
  Implement Data Ops practices to enhance collaboration between data engineering and operations teams, ensuring continuous integration and delivery of data solutions.
• Technology Exploration:
  Stay updated with the latest technologies and trends in data engineering, evaluating and integrating new tools and frameworks (e.g., dbt, Python libraries) to improve data processing and analytics.
• Performance Optimization:
  Monitor and optimize data pipelines and processes for performance, scalability, and cost-effectiveness in cloud environments.
• Documentation and Best Practices:
  Maintain comprehensive documentation of data workflows, architecture, and best practices to ensure knowledge sharing and compliance with data governance standards.
• Cross-Functional Collaboration:
  
  Collaborate with data scientists, analysts, and other IT teams to ensure that data solutions meet analytical needs and support business intelligence initiatives.

• Master’s degree in computer science, engineering, mathematics or another relevant subject.
• Minimum 2 Years
  
  Experience:
  
  Proven experience in data engineering roles, demonstrating a solid understanding of data modeling and platform building.
• Proficient in Python and Coding:
  Practical experience with Python or other programming languages, enabling the development of data pipelines and automation scripts.
• Database Technologies Expertise:
  Familiarity with various database technologies (e.g., SQL, No
  
  SQL) to effectively manage and manipulate data.
• Cloud Technologies Knowledge:
  Experience with Azure and Databricks is a significant advantage, showcasing the ability to work with modern cloud-based data platforms.
• SQL Proficiency:
  Strong SQL skills are essential for querying and managing relational databases, ensuring efficient data retrieval and manipulation.
• Client-Facing
  
  Experience:
  
  Ability to interact with clients and stakeholders, understanding their needs and translating them into technical solutions.
• Collaborative Team Player:
  Experience working collaboratively within a team environment, contributing to collective goals and supporting team members.
• Strong Communication
  
  Skills:
  
  Excellent verbal and written communication skills, with the ability to present complex data concepts clearly to both technical and non-technical audiences.
• Proactive Attitude: A "go-getter" mentality, demonstrating initiative and a willingness to tackle challenges and drive projects forward.
• Language Proficiency:
  Fluency in Dutch or French, along with proficient business English, to effectively communicate with diverse stakeholders and clients.

• 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 and senior management is very accessible.
• You will join…