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Data Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: Datatech
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    Data Engineer, AI Engineer (Applied/Software), Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Data Engineer SQL London

Location: London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday)

Salary: 45,000 to 50,000 dependent on experience

Reference: J13133

We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products.

Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors.

What You'll Be Doing
  • Building and maintaining data pipelines using SQL and Python
  • Developing data models for analytics and AI applications
  • Working with cloud platforms including Azure, AWS or GCP
  • Supporting CI/CD processes and automated deployments
  • Implementing data quality, monitoring and validation processes
  • Collaborating with Product, Engineering and AI teams on new product development
What We're Looking For
  • Commercial Data Engineering experience
  • Strong SQL skills
  • Python experience
  • Exposure to Azure, AWS or GCP
  • Understanding of data modelling and data warehousing principles
  • Experience working with Git and CI/CD processes
  • Strong communication skills and a collaborative mindset
Nice to Have
  • SaaS or product development experience
  • Exposure to AI or machine learning environments
  • Experience with Databricks, Fabric or modern cloud data platforms
The Opportunity
  • Work on AI-powered products rather than internal reporting
  • Join a collaborative product engineering team
  • Exposure to modern cloud and AI technologies
  • Opportunity to influence products used by real customers
  • Excellent environment for learning and development
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