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 (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.

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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