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Ernst & Young

Global professional services: consulting, assurance, tax

Data Engineer

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

About the Job

Requirements

  • Hold a Master's degree or PhD in STEM, Econometrics, or a related field.
  • Have 3 to 5 years of experience in data engineering, business intelligence, or data platform development.
  • Have experience with data integration, ETL/ELT processes, and transforming complex datasets into reliable and scalable data models.
  • Be proficient in SQL and understand relational databases, data warehousing concepts, and data architecture principles.
  • Be familiar with Power BI and understand how to design, maintain, and optimize semantic models and reporting environments.
  • Have experience connecting and integrating data from multiple sources, such as SQL databases, application programming interfaces, XML, JSON, cloud platforms, and enterprise applications.
  • Be comfortable working with automation and modern digital tools, including Microsoft Power Platform and AI-enabled technologies such as Microsoft Copilot.
  • Understand the importance of documentation and be committed to creating high-quality, maintainable solutions that can be supported by others.
  • Be fluent in English and Dutch or French.
  • Be able to collaborate with international teams and stakeholders and translate complex requirements into clear and impactful data solutions.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and integration solutions.
  • Build and optimize ETL/ELT processes to collect, transform, and deliver high-quality data.
  • Develop and maintain data models, data warehouses, and reporting datasets to support business analytics and operational insights.
  • Integrate data from multiple internal and external sources while ensuring consistency, accuracy, and reliability.
  • Support the development of business intelligence and data visualization solutions, including Power BI and other reporting platforms.
  • Implement data quality, governance, and security standards across the data landscape.
  • Monitor and optimize the performance of data platforms, databases, and processing workflows.
  • Contribute to automation initiatives that increase efficiency and reduce manual effort throughout the organization.
  • Coach and support colleagues by sharing knowledge and promoting data best practices across teams.

Desired Qualifications

  • Experience with Python, cloud data platforms, or modern data engineering technologies is considered a strong asset.

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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