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Ernst & Young

Global professional services: consulting, assurance, tax

Senior Data Engineer - Financial Services

Data EngineeringUpdated on Nov 14
Full-timeDiegem, Machelen, BelgiumNo salary listed

About the Job

Requirements

  • A master's degree in computer science, engineering, mathematics, or another relevant subject is required.
  • At least two years of experience in data engineering roles, including a solid understanding of data modeling and platform building.
  • Practical experience with Python or another programming language to develop data pipelines and automation scripts.
  • Familiarity with database technologies, including SQL and NoSQL.
  • Strong SQL skills for querying and managing relational databases.
  • Ability to interact with clients and stakeholders, understand their needs, and translate them into technical solutions.
  • Experience working collaboratively within a team environment.
  • Fluency in Dutch or French and proficient business English.

Responsibilities

  • Design, build, and maintain data pipelines using tools such as Databricks and dbt to support ETL/ELT processes.
  • Lead and execute data migration projects, transitioning data from legacy systems to cloud-based platforms while maintaining data integrity and quality.
  • Set up, configure, and manage cloud-based data platforms such as Databricks, Snowflake, and Azure for data storage, processing, and analytics.
  • Work with business stakeholders to understand data requirements, provide insights, and align data engineering work with business objectives.
  • Implement DataOps practices to improve collaboration between data engineering and operations teams and enable continuous integration and delivery of data solutions.
  • Evaluate and integrate new data engineering tools and frameworks, including dbt and Python libraries, to improve data processing and analytics.
  • Monitor and optimize data pipelines and processes for performance, scalability, and cost-effectiveness in cloud environments.
  • Maintain documentation of data workflows, architecture, and best practices in line with data governance standards.
  • Collaborate with data scientists, analysts, and IT teams to ensure data solutions meet analytical needs and support business intelligence initiatives.
  • Work at client sites part time and travel for business when required.

Desired Qualifications

  • Experience with Azure and Databricks is a significant advantage.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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