At a Glance
- Tasks: Design scalable data pipelines and contribute to backend services.
- Company: Innovative tech firm in Belfast with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Other info: Join a dynamic team tackling complex technical challenges.
- Why this job: Make a real impact in a high-calibre role with architectural influence.
- Qualifications: Deep data engineering experience and strong backend skills required.
The predicted salary is between 56700 - 69300 £ per year.
Location: Belfast (Hybrid)
Eligibility: UK work authorisation required (no sponsorship available)
We're looking for a high calibre Staff Data Engineer who brings deep expertise in data engineering, but can also operate comfortably across the backend engineering landscape. This is not a typical data role. It's aimed at someone who can go deep on data pipelines, modelling, and performance, while also contributing more broadly to system design and backend services when needed. If you enjoy working across both worlds, this is where you'll stand out.
Why join?
- High-impact, senior role with real architectural influence
- Work across both data engineering and backend systems
- Modern, scalable platform with complex technical challenges
- Collaborative engineering culture with strong technical ownership
- Clear opportunity to shape standards and direction
What you'll be doing:
- Design and evolve scalable data pipelines and platforms
- Contribute to backend services and system architecture beyond the data layer
- Ensure data systems are reliable, performant, and production-ready
- Work closely with engineering, product, and analytics teams
- Set and drive best practices across data and backend engineering
- Mentor engineers and support technical decision-making
- Troubleshoot complex system and data issues
What you'll bring:
- Deep experience building production grade data systems
- Strong SQL and hands-on experience with modern data tooling and cloud platforms
- Ability to work beyond data into backend engineering (APIs, services, system design)
- Experience with distributed systems and event driven architectures
- Strong software engineering fundamentals (testing, CI/CD, version control)
- Clear communication skills and ability to influence technical direction
Interested? If you're someone who combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat.
Staff Data Engineer (Backend Data Specialist) in Belfast employer: Workcircle
At Rolls-Royce, we pride ourselves on being a leading employer in the aerospace industry, offering a dynamic work culture that values individuality and innovation. Our Derby location provides a unique opportunity to work on cutting-edge projects like Test Bed 80, with ample training and growth opportunities for both experienced and early career engineers. With a comprehensive benefits package and a commitment to inclusivity, joining Rolls-Royce means becoming part of a forward-thinking team dedicated to shaping the future of aerospace technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer (Backend Data Specialist) in Belfast
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Workcircle!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Staff Data Engineer (Backend Data Specialist) at Workcircle.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Workcircle.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Data Engineer (Backend Data Specialist) at Workcircle, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Data Engineer (Backend Data Specialist) in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Workcircle, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Workcircle. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Workcircle
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Workcircle!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
