Data Engineer

La Fosse Associates
City of London, England
9 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior Data Engineer

Lab 1 London, Greater London, United Kingdom
£85,000 – £125,000 pa Hybrid

Data Engineer

Experis United Kingdom
£450 – £500 pd

Data Engineer

Gleeson Recruitment Group Birmingham, United Kingdom
£65,000 – £75,000 pa On-site

Data Engineer

TRIA London, United Kingdom
£40,000 – £45,000 pa Permanent

Data Engineer

EF Recruitment London, United Kingdom
£300 – £350 pd Hybrid

Data Engineer

Reed Technology Guildford, Surrey, United Kingdom
£35,000 – £60,000 pa Hybrid Clearance Required

Data Engineer

VIQU IT Longbridge, Warwickshire, Warwickshire, CV34 6BS, United Kingdom
£400 – £500 pd Hybrid Clearance Required
Posted
18 Oct 2025 (9 months ago)
Overview

Data Engineer –


London (Hybrid)


£75k – £95k


La Fosse has partnered with an exciting Gaming company to hire a Data Engineer for their UK team. This hybrid role is based in London (1–2 days in office) and offers the opportunity to work on a first-of-its-kind project with huge business impact.


Responsibilities

Role Overview:


As the Data Engineer on this project, you will work closely with a cross-functional team of software and data engineers to build large-scale data systems supporting thousands of daily users. You’ll focus on designing, building, and maintaining ETL/ELT pipelines, integrating data from multiple sources into Snowflake and downstream tools, and developing proofs of concept to optimise delivery.


This role provides ownership of technologies and solutions, allowing you to propose and implement innovative approaches while influencing project architecture.


Technical Responsibilities:



  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Integrate data from external APIs and internal systems into Snowflake.
  • Support data aggregation and integration to enable commercial decision-making.
  • Propose technical solutions, proofs of concept, and best practices.
  • Work with messaging and scheduling tools (e.g., Kafka, Airflow).
  • Apply Python and SQL expertise for complex data processing.
  • Contribute to IaC/DevOps practices (Terraform, CI/CD pipelines, containerisation).
  • Leverage AI tools to improve workflow efficiency and reduce cycle times.

Qualifications

  • 4+ years’ experience in Data or Software Engineering, ideally with hands-on experience in data infrastructure.
  • Strong expertise in Snowflake (certifications a plus).
  • Experience building or maintaining scalable data systems and integrations.
  • Strong programming skills in Python and SQL (OOP, not just scripting).
  • Experience with ETL/ELT orchestration, data modelling, and cloud-based platforms (AWS preferred).
  • Comfortable collaborating with software engineers, analysts, and product managers.
  • Proactive problem solver with examples of owning solutions or projects.
  • Interested in working in the gaming or sports betting industry.

If you are a technically strong, solutions-focused Data Engineer ready to take ownership and deliver impact, we would love to hear from you. Apply now to join the team!


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.