Data Engineer

La Fosse Associates; City Of London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

A leading technology recruitment firm is seeking a Data Engineer for a hybrid role based in London. You'll work on large-scale data systems, designing ETL/ELT pipelines and integrating data into Snowflake. Ideal candidates will have over 4 years of experience in data engineering, strong Python and SQL skills, and an interest in gaming or sports betting. This role offers significant ownership and influence over technical solutions.

Qualifications

• 4+ years’ experience in Data or Software Engineering with data infrastructure.
• Strong expertise in Snowflake, ideally with certifications.
• Proficient in Python and SQL with OOP focus.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines.
• Integrate data from APIs and internal systems into Snowflake.
• Support data aggregation for commercial decision-making.

Skills

Python

SQL

Data engineering

Snowflake

ETL/ELT pipelines

DevOps practices

Tools

Kafka

Airflow

Terraform

Job description

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!