We are seeking a skilled Data Engineer to join our technology organisation as part of a major financial reporting transformation programme. Working closely with Data Architects and the wider Digital Technology teams, the Data Engineer will play a central role in building a foundational cloud data platform that aligns with enterprise design principles and supports the organisation’s evolving financial reporting needs. The successful candidate will bring technical expertise, engineering discipline, and a strong understanding of modern data platforms and tooling. Operating within a highly regulated environment, they will help design and deliver secure, reliable, and scalable data capabilities that can collect, transform, protect, and present data effectively for business consumers.
Data Platform Engineering
- Build, configure, and maintain a modern cloud-based data platform in alignment with architectural blueprints and design standards.
- Develop robust data pipelines that ingest, transform, and publish data from multiple source systems into trusted reporting layers.
- Ensure solutions support financial reporting requirements including accuracy, completeness, auditability, and traceability.
Collaboration & Technical Input
- Work closely with Data Architects to refine designs, challenge assumptions, and contribute engineering insights to architectural decisions.
- Collaborate with wider technology teams, business stakeholders, and programme partners to ensure solutions meet operational and reporting needs.
- Support the evaluation and adoption of modern data engineering tools, patterns, and practices.
Data Quality, Security & Governance
- Implement engineering practices that ensure high data quality, including validation, monitoring, reconciliation, and automated testing.
- Embed security-by-design, including encryption, access control, secure data movement, and compliance with regulatory requirements.
- Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards.
Operational Excellence
- Build resilient, high-performing data solutions capable of supporting financial reporting workloads.
- Develop and maintain reusable data engineering patterns, components, and frameworks.
- Monitor platform performance, troubleshoot issues, and optimise data processes for efficiency and reliability.
Essential
- Proven experience as a Solution Architect on large-scale transformation programmes, ideally involving MES platforms or manufacturing/operational systems.
- Strong understanding of MES solutions, production workflows, shop-floor operations, automation technologies, and related integration patterns.
- Experience with enterprise architecture frameworks (TOGAF or equivalent).
- Strong knowledge in:
- Application architecture for MES and manufacturing systems
- Data architecture, lineage, record management, and governance
- Security principles in operational and regulated environments
- Integration technologies (API, message-based, OT interfaces, middleware)
- Experience collaborating with third-party consultancy partners within structured transformation initiatives.
- Experience working within a highly regulated manufacturing environment (e.g., pharma, medical devices, aerospace, food & beverage).
Desirable Skills
- Familiarity with automation/OT concepts (e.g., PLCs, SCADA, historians), though not as a primary specialism.
- Understanding of validation processes, GMP requirements, and manufacturing compliance frameworks.
- Experience with reporting, analytics, or data visualisation tools used in operational settings.
Personal Attributes
- Strong analytical and problem-solving skills.
- Clear and confident communicator, able to work with technical and non-technical stakeholders.
- Pragmatic, collaborative, and able to influence outcomes across diverse teams.
- Detail-oriented with the ability to balance deep technical work and broader architectural alignment.
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