Senior Data Engineer

Data Science Festival; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading tech company in London is seeking a Senior Data Engineer to design and maintain scalable data pipelines. You will take ownership of the data engineering stack to enable product innovation and campaign optimization. The ideal candidate has strong expertise with Google Cloud Platform, SQL, and Python, working closely with Engineering, Growth, and Product teams to ensure reliable data access.

Qualifications

• Experience in designing and maintaining scalable data pipelines.
• Ability to build orchestration systems that support product innovation.
• Familiarity with data analytics and experimentation.

Responsibilities

• Own the data engineering stack and ensure its reliability.
• Collaborate with Engineering, Growth, and Product teams.
• Design architecture for real-time data access.

Skills

Strong expertise with Google Cloud Platform, especially BigQuery

Proficient in SQL

Proficient in Python

Confident working with analytics engineering tools like dbt

Job description

Senior Data Engineer

Salary: £80,000 – £100,000 per annum

Location: London hybrid

Data Idols are working with a high-growth, product-led tech company on a mission to transform a global consumer category. With a rapidly growing customer base and a digital product used by millions, they are scaling their data team to power the next phase of growth and innovation. This role sits at the heart of their data platform strategy, perfect for an experienced Senior Data Engineer who wants to build infrastructure that shapes real-time decisions across Product, Growth, and Marketing teams.

The Opportunity

This is a hands-on, impactful position where you’ll have full ownership of the data engineering stack. You’ll be responsible for designing and maintaining scalable pipelines and orchestration systems that enable product innovation, campaign optimisation, and personalised user experiences at scale. Working closely with Engineering, Growth, and Product, you’ll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation.

Skills & Experience

• Strong expertise with Google Cloud Platform, especially BigQuery
• Proficient in SQL and Python
• Confident working with analytics engineering tools like dbt