Details:
- Salary: £85,000 - 95,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: London
- Date: 5 days ago
Description:
Staff Data Engineer
Salary: £85,000 - £95,000
Location: London | Hybrid
Data Idols are working with one of the UK's most recognised retail brands as they continue to invest heavily in their enterprise data platform. They are looking for a Staff Data Engineer to play a pivotal role in building a modern cloud-based data ecosystem while helping shape the future of data engineering across the organisation.
This role sits at the heart of a major data transformation, offering the opportunity to lead the development of scalable, production-grade data platforms that power business-critical decisions across the enterprise.
The Opportunity
As a Staff Data Engineer, you'll combine hands-on engineering with technical leadership, designing and delivering robust, cloud-native data solutions that enable data at scale. Working within a high-performing engineering squad, you'll take ownership of complex technical challenges, influence engineering standards, and help drive best practices across the wider data community.
You'll build scalable data pipelines and frameworks using Azure, Databricks and Pyspark, while mentoring other engineers through code reviews, technical guidance and pair programming. Working closely with Product and Delivery teams, you'll play a key role in shaping the evolution of a modern cloud data platform and delivering solutions that create real business value.
Skills & Experience
Strong experience building cloud-native data platforms, ideally on Azure
Commercial experience with Databricks, Pyspark and Python
Advanced SQL and data engineering expertise
Experience designing and delivering scalable ETL/data pipeline solutions
A passion for technical leadership, mentoring engineers and driving engineering best practiceIf you're looking for a role where you can shape the future of data engineering while solving complex technical challenges at enterprise scale, please submit your CV for initial screening and further details.
Staff Data Engineer