Senior Data Engineer

Data Science Festival; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Data Science Festival is seeking a Senior Data Engineer to take ownership of their data engineering stack. This hands-on role is pivotal for maintaining data pipelines and orchestration systems that drive product innovation and enhance user experiences.

The ideal candidate will have strong expertise in Google Cloud Platform (especially BigQuery), and proficiency in SQL and Python. Collaboration with Engineering, Growth, and Product teams is essential.

Qualifications

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

Responsibilities

• Design and maintain scalable data pipelines.
• Ensure data is reliable, unified, and accessible.
• Collaborate with Engineering and Product teams.

Skills

Google Cloud Platform

SQL

Python

dbt

Job description

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