Data Engineer

EY; Diegem; On-site; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Company car

Health insurance

Pension plan

Meal vouchers

Flexible working

Training & development

Job summary

EY Belgium is seeking a Senior Data Engineer to design, build and optimize our data ecosystem. You will transform complex data into reliable, scalable solutions and enable data-driven decision-making across the organization.

Collaborating with business stakeholders and technology teams, you will develop modern data platforms, implement governance, and drive AI-enabled analytics initiatives, while working in a multilingual, international environment.

Qualifications

• Master's degree or PhD in STEM or related field.
• 3–5 years of experience in data engineering, BI, or data platform development.
• Strong experience with data integration, ETL/ELT, and transforming complex datasets into reliable data models.
• Proficient in SQL and relational databases; data warehousing concepts.
• Familiar with Power BI and semantic modeling for reporting environments.
• Experience integrating data from SQL, APIs, XML, JSON, cloud platforms, and enterprise apps.
• Comfort with Microsoft Power Platform and AI-enabled tools like Copilot.
• Experience with Python and modern data engineering tech is a strong asset.
• Commitment to high-quality, maintainable documentation.
• Fluent in English and Dutch or French; good collaboration in multilingual teams.

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.
• Integrate data from multiple internal and external sources ensuring accuracy.
• Support BI and data visualization via Power BI and other tools.
• Implement data quality, governance and security standards across the data landscape.
• Monitor and optimize performance of data platforms and workflows.
• Contribute to automation initiatives to increase efficiency.
• Coach and share data best practices across teams.

Skills

Data integration

ETL/ELT

Data modeling

SQL

Power BI

APIs & JSON

Python

Power Platform

Copilot AI

Documentation

Multilingual collaboration

Education

Master's degree or PhD in STEM

Tools

Power BI

SQL databases

Cloud platforms

Microsoft Copilot

Job description

Within the Tax & Law service line, the Tax Technology Office architects and operates a unified technology, data and AI ecosystem that accelerates innovation without compromising trust. You work on both client missions in AI and technology, helping organizations move beyond pilots into industrialized, auditable solutions, and on internal business-critical platforms that reshape the way our own Tax & Law service line operates, always with governance embedded by design rather than bolted on afterwards. From identification to deployment, measured in time saved, quality improved and value created. Depending on your interests and background you can specialize in Solution Development & Service Management, Innovation & Adoption, Technology Legal & Compliance, or Go-to-Market.

Shape the future with confidence.

The Opportunity: Your Next Adventure Awaits?

As a Senior Data Engineer, you will play a key role in designing, building and optimizing EY's data ecosystem. You will help transform complex data into reliable, scalable and secure solutions that enable data-driven decision-making across the organization. Working closely with business stakeholders, data analysts and technology teams, you will drive the development of modern data platforms, improve data accessibility and contribute to innovative analytics and AI initiatives.

Your Key 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.

Your Profile

• You hold a Master's degree or PhD in STEM, Econometrics, or a related field.
• You have between 3 and max 5 of experience in data engineering, business intelligence or data platform development.
• You have strong experience with data integration, ETL/ELT processes, and transforming complex datasets into reliable and scalable data models.
• You are proficient in SQL and have a solid understanding of relational databases, data warehousing concepts, and data architecture principles.
• You are familiar with Power BI and understand how to design, maintain, and optimize semantic models and reporting environments.
• You have experience connecting and integrating data from multiple sources, such as SQL databases, APIs, XML, JSON, cloud platforms, and enterprise applications.
• You are comfortable working with automation and modern digital tools, including Microsoft Power Platform and AI-enabled technologies such as Microsoft Copilot.
• Experience with Python, cloud data platforms, or modern data engineering technologies is considered a strong asset.
• You understand the importance of documentation and are committed to creating high-quality, maintainable solutions that can be easily supported by others.
• You are fluent in English and Dutch or French, with the ability to collaborate effectively in a multilingual environment.
• You enjoy working with international teams and stakeholders and can translate complex requirements into clear and impactful data solutions.

What’s In It For You

• EY Family– you become part of the EY Family providing you with all the necessary skills, training and opportunities; enabling you to grow to your fullest potential.
• Attractive remuneration package- We offer an attractive remuneration package; including a company car and charging card, iPhone plus subscription, health insurance, pension plan, meal vouchers, and eco vouchers. Thanks to our flex plan it is possible to choose what you value most.
• Mobility package- You’ll be able to opt-in for the mobility budget. In return for giving up your (right to a) company car, you’ll receive a monthly budget from EY as compensation. This budget will allow you to use your employer-provided compensation for alternative transportation means or similar benefits, incl. reimbursement of housing costs (on condition you live within 10km of your main place of employment).
• Flexible working arrangements- We are proud of our flexible working arrangements. We will actively support you in building a successful career and delivering excellent client service without sacrificing your personal priorities. We offer flexible working hours and working from home multiple days per week is possible.
• Inspiring work environment- At EY we are dedicated to providing you with an inspiring work environment. A work environment that allows you to further develop your skills and enables you to fulfill your true potential.
• Learning & personal growth- You will benefit from an onboarding program, receive extensive training and will be coached by a counselor. We offer a clear career path tailored to your unique skills with necessary guidance.
• Artificial Intelligence– stay up to date with the latest AI trends through our extensive training opportunities and integrated AI systems. You’ll learn how to leverage AI in a smart and efficient way in your day-to-day work, while developing skills to identify, quantify and track value creation when integrating AI into client environments.
• Fun- By joining our EY- teams, you can participate in team activities, and companywide events and enjoy a drink during our monthly after-work drink.
• Sustainability- We have a fleet of hybrid and electric cars. Our flex plan makes it possible for you to choose the most sustainable option for you. You can also opt for a train subscription or lease a bike.
• Diversity & Inclusion- At EY we are passionate about the inclusion and support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.
• Location- All of our offices are easily accessible by public transport and/or by car and have parking space. They all have parking spaces and charging stations are provided.

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.