At a Glance
- Tasks: Build and maintain a cutting-edge cloud data platform for financial reporting.
- Company: Join a leading tech organisation driving financial transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on diversity and inclusion.
- Why this job: Make a real impact in a dynamic environment with innovative data solutions.
- Qualifications: Experience in data engineering and strong problem-solving skills required.
The predicted salary is between 50000 - 70000 £ per year.
Data Engineer – Fixed Term Contract (12 months)
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.
Key Responsibilities
- 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.
- 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.
- 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.
- 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 Qualifications
- 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, governance, security principles in operational and regulated environments, and 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.
RTX adheres to the principles of equal employment.
All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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