At a Glance
- Tasks: Build and maintain a modern cloud-based data platform for financial reporting.
- Company: Join Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Hybrid work, professional development, and a collaborative environment.
- Other info: Opportunity to work in a highly regulated environment with excellent growth potential.
- Why this job: Make a real impact on national security while advancing your career.
- Qualifications: Experience in data engineering and strong analytical skills required.
The predicted salary is between 36000 - 60000 £ per year.
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.
Key Responsibilities
- 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.
Equal Employment 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.
Data Engineer - 12 months' Fixed Term Contract in Harlow employer: Raytheon UK
At Raytheon UK, we pride ourselves on being a leader in defence and aerospace technology, offering a dynamic work environment in Harlow, Essex. As a Data Engineer, you will be part of a collaborative culture that prioritises innovation and personal development, with abundant opportunities for professional growth while contributing to national security. Our commitment to employee well-being and a sense of purpose makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - 12 months' Fixed Term Contract in Harlow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Raytheon UK. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals, especially around data engineering and financial reporting.
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant data platforms or transformation programmes, be sure to highlight these during interviews. Real-world examples can make you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Raytheon UK.
We think you need these skills to ace Data Engineer - 12 months' Fixed Term Contract in Harlow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description, especially around data platforms and engineering practices. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our mission at Raytheon UK. Let us know what excites you about working in defence and aerospace technology.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention specific tools, technologies, and methodologies you've used in past projects. We’re looking for someone who can hit the ground running, so make it clear how you meet our technical requirements.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Raytheon UK
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around cloud platforms and data pipelines. Be ready to discuss how you've built or maintained data solutions in the past, as this role requires a solid understanding of modern data platforms.
✨Showcase Your Collaboration Skills
This position involves working closely with Data Architects and various teams. Prepare examples of how you've successfully collaborated on projects, particularly in a regulated environment. Highlight your ability to communicate technical concepts to non-technical stakeholders.
✨Emphasise Data Quality and Security
Given the focus on financial reporting, be prepared to discuss your experience with data quality practices and security measures. Talk about specific instances where you implemented validation, monitoring, or compliance protocols in your previous roles.
✨Prepare for Technical Questions
Expect technical questions related to data architecture, integration technologies, and operational excellence. Brush up on relevant frameworks like TOGAF and be ready to explain how you've applied these in real-world scenarios.
