Data Engineer

Data Engineer

Reward, Belfast, Northern Ireland, United Kingdom

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 (Power Pivot, 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.

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Information Technology

Industries:
Advertising Services, IT System Data Services, and Data Infrastructure and Analytics

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