- Company Name
- Church International Limited
- Job Title
- Senior Data Engineer
- Job Description
-
Job title: Senior Data Engineer
Role Summary
Senior Data Engineer will work with the Operational Permanent Control team on a transformation program aimed at improving data management, analytics, and automation for Retail, Corporate, and Private Banking as well as support functions. The role balances on‑site collaboration with remote work to deliver high‑impact data quality and usability improvements across the organization.
Expectations
- Freelance engagement: 01/12/2025 – 30/06/2026.
- Must reside in Belgium and hold the right to work in Belgium.
- Fluency in French or Dutch and English required.
- Ability to work independently and collaboratively within a cross‑functional team.
- Deliver solutions that align with data governance standards and operational needs.
Key Responsibilities
- Document, review, and refine existing data models for maintainability, readability, and scalability.
- Design and implement data models for reporting and operational use, integrating them into control and monitoring processes.
- Automate recurring data processes, optimise workflows, and ensure efficient data pooling, sampling, and processing.
- Translate business requirements into technical solutions while maintaining data governance and compliance.
- Contribute to the industrialisation of data flows, producing reusable data assets for analytics and control.
- Partner with stakeholders to identify process improvements, provide technical guidance, and ensure timely delivery of data solutions.
Required Skills
- Master’s level knowledge in data engineering, computer science, data science, or equivalent experience.
- Minimum 5 years of experience as a Data Engineer or Analyst, preferably in finance, control functions, or large complex organisations.
- Proficiency in conceptual data modeling (e.g., MERISE), data pooling, sampling, and implementing data solutions in complex environments.
- Strong analytical, communication, and stakeholder‑management skills.
- Ability to translate complex requirements into practical, scalable solutions.
- Proactive, autonomous, and collaborative mindset.
Required Education & Certifications
- Master’s degree in Data Engineering, Computer Science, Data Science, or related field.
- Certifications related to data modeling, big data technologies, or data governance (preferred but not mandatory).