At a Glance
- Tasks: Join a team to build a cutting-edge cloud data platform for financial reporting.
- Company: Dynamic tech organisation focused on innovation and transformation.
- Benefits: 12-month contract with competitive pay and opportunities for growth.
- Other info: Exciting chance to work with modern tools and technologies in a supportive team.
- Why this job: Make a real impact in a highly regulated environment while developing your skills.
- Qualifications: Experience in data engineering and strong collaboration skills required.
The predicted salary is between 50000 - 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.
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.
Data Engineer - 12 months' Fixed Term Contract employer: RTX Corporation
Join our dynamic technology organisation as a Data Engineer and be part of a transformative journey in financial reporting. We pride ourselves on fostering a collaborative work culture that values innovation and professional growth, offering opportunities to work with cutting-edge cloud technologies in a highly regulated environment. With a commitment to employee development and a focus on operational excellence, we provide a supportive atmosphere where your contributions will directly impact the success of our data initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - 12 months' Fixed Term Contract
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to cloud data platforms or financial reporting. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your data engineering concepts and tools. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team!
We think you need these skills to ace Data Engineer - 12 months' Fixed Term Contract
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud data platforms, data pipelines, and any relevant projects that showcase your skills in financial reporting transformation.
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 needs. Don’t forget to mention your collaboration experience with Data Architects and technology teams.
Showcase Your Technical Skills:We want to see your technical expertise! Be specific about the tools and technologies you’ve worked with, especially those related to data quality, security, and governance. Mention any experience with MES solutions or enterprise architecture frameworks.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at RTX Corporation
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills and knowledge before the interview. Be ready to discuss your experience with cloud-based data platforms, data pipelines, and any relevant tools you've used. This is your chance to show off your technical expertise!
✨Understand the Business Context
Familiarise yourself with the financial reporting transformation programme mentioned in the job description. Understand how your role as a Data Engineer fits into the bigger picture and be prepared to discuss how you can contribute to building secure and reliable data capabilities.
✨Collaboration is Key
Since you'll be working closely with Data Architects and other teams, think of examples where you've successfully collaborated in the past. Be ready to share how you’ve contributed to architectural decisions and worked with stakeholders to meet operational needs.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your analytical skills and your ability to troubleshoot issues, especially in regulated environments. This will demonstrate your readiness for the operational excellence aspect of the role.
