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Data Engineer


Data Engineer (Expert)

Location: Brussels, Belgium

Freelance Contract Duration: June 2026 – December 2026

Work Arrangement: Hybrid (50% onsite / 50% remote)

We are looking for an experienced Data Engineer to join a leading financial institution and contribute to the design, development, and optimization of enterprise-scale data solutions. The successful candidate will play a key role in transforming complex business requirements into robust data architectures that support reporting, analytics, regulatory requirements, and data-driven decision-making.

This position offers the opportunity to work within a large-scale data environment, collaborating with business and technical stakeholders to deliver secure, scalable, and high-quality data products.

Key Responsibilities

  • Gather and analyse business requirements using appropriate elicitation techniques.
  • Translate business needs into efficient and scalable data solutions.
  • Design data flows, data models, datasets, data stores, mapping rules, and access mechanisms.
  • Identify and evaluate the most suitable source systems and define integration strategies.
  • Define business and technical rules for data transformation and integration.
  • Develop prototypes and proof-of-concepts to support solution validation.
  • Design and implement logical and physical data models.
  • Develop and industrialize data pipelines feeding data warehouses, data marts, and analytical datasets.
  • Optimize and streamline data processes to maximize data availability, reusability, and performance.
  • Ensure compliance with data quality, governance, security, and regulatory standards.
  • Collaborate closely with cross-functional teams to deliver high-quality data solutions.

Required Experience & Qualifications

  • Minimum 6 years of experience in Data Engineering, Data Analytics, Business Intelligence, or a related field.
  • Strong experience in designing and implementing enterprise data solutions.
  • Solid understanding of data warehousing concepts and data integration practices.
  • Experience working within regulated environments, preferably in the financial services sector.
  • Master’s degree in engineering, Mathematics, Statistics, Computer Science, Data Science, or another quantitative discipline.
  • Strong team player with excellent collaboration skills.
  • Proactive and self-motivated professional.
  • Excellent communication and stakeholder management abilities.
  • Strong sense of ownership and accountability.
  • Technical Skills: Data Modeling, PowerDesigner & Data Vault Modeling

Apply now or email lydia.wills@church-int.com

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