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For Companies At a Glance
- Tasks: Build and optimise data pipelines while collaborating with diverse teams.
- Company: Reward, a data-driven company focused on customer loyalty.
- Benefits: Full-time role with a friendly team, strong values, and social events.
- Why this job: Shape the future of data platforms and make a real impact.
- Qualifications: 2+ years in relational databases, strong SQL and Python skills.
- Other info: Join a dynamic environment with opportunities for growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
At Reward, data is at the core of everything we do from powering real-time insights to driving smarter customer loyalty. As we scale globally, we’re on the lookout for a curious, driven Data Engineer to help us shape the future of our data platform.
What you’ll be doing:
- Building and optimising data pipelines in a cloud first environment (AWS)
- Collaborating with business stakeholders (tech & non-tech) to deliver smart, scalable reporting and data solutions
- Migrating and modernising ETL processes and data warehouses for reporting and monetisation
- Creating well-documented, efficient code in SQL and Python
- Implementing QA processes and supporting the business with both regular and ad hoc data deliverables
Tech you’ll work with:
- SQL Server (SSIS, SSRS, SSAS)
- Python
- AWS stack – Glue, Lambda, S3, EC2, Jupyter
- Excel (PowerPivot, VBA, lookups, advanced formulas)
You’ll also:
- Collaborate closely with our Data Engineers and Product Owner
- Own your solutions end-to-end, from design through deployment
- Help ensure clean, scalable, and well‑tested code
- Drive automation that saves time and cost across the business
- Contribute to a data culture where quality, collaboration, and impact come first
What you bring:
- 2+ years of hands‑on experience with large relational databases (500K+ customers)
- Deep knowledge of relational database concepts and performance optimisation
- Strong SQL and Python skills
- Experience designing in cloud environments, ideally AWS
- A collaborative mindset and ability to translate business needs into technical specs
- Bonus: knowledge of BI tools, domain experience in retail/marketing/loyalty, or a background in a quantitative discipline
Must have the right to work in the UK.
We’re a friendly team with strong values and plenty of team socials!
Ready to join a team where data drives everything? Apply now or message us for more details.
Data Engineer in Belfast employer: Rewardinsight
Contact Detail:
Rewardinsight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at Reward on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your SQL and Python prowess. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Be ready to discuss real-world scenarios. Think about how you've tackled data challenges in the past and be prepared to share those stories. It shows you're not just book-smart but also practical.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Reward.
We think you need these skills to ace Data Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with SQL, Python, and cloud environments like AWS. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your skills.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it’s optimising data pipelines or creating efficient code, we love seeing real examples of your work.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our friendly team at Reward!
How to prepare for a job interview at Rewardinsight
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like SQL, Python, and AWS. Be ready to discuss your experience with these tools and how you've used them to build or optimise data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially related to data migration or ETL processes. Highlight your ability to collaborate with both technical and non-technical stakeholders to deliver effective solutions.
✨Demonstrate Your Coding Proficiency
Be prepared to discuss your coding practices, particularly in SQL and Python. You might even be asked to solve a coding problem on the spot, so brush up on your skills and think through your approach to writing clean, efficient code.
✨Emphasise Collaboration and Culture Fit
Reward values a collaborative mindset, so be ready to talk about how you work within a team. Share experiences where you've contributed to a positive team culture or helped drive automation that benefited the business.
