Data Engineer
Summary
Hands-on Data Engineer designing, building and maintaining scalable data pipelines and Lakehouse platforms using Databricks, Python, PySpark, SQL and Azure for a major UK retail brand's digital and data transformation, working with e-commerce, CRM and customer datasets.
Salary: Up to £70,000 + bonus + excellent benefits
We're partnering with one of the UK's most recognisable retail brands as they embark on a major digital and data transformation.
With ambitious plans to expand their digital offering, enhance their e-commerce capabilities and develop a more connected understanding of their customers, they're investing heavily in their data engineering function.
We're looking for a hands-on Data Engineer to join a growing team and help build the data platforms and pipelines that will underpin this transformation.
This is a fantastic opportunity to work on meaningful projects, develop your technical skills and play a key role in shaping a modern data environment.
What You'll Be Doing
- Designing, building and maintaining scalable data pipelines using Databricks, Python, PySpark and SQL
- Developing and optimising ETL/ELT processes to support analytics, reporting and digital products
- Working with customer, CRM, e-commerce and operational datasets
- Building reliable data solutions using modern Lakehouse and Medallion architecture principles
- Integrating data from APIs, cloud platforms and multiple business systems
- Working closely with stakeholders to understand requirements and translate them into technical solutions
- Improving data quality, performance, reliability and engineering best practices
- Contributing to a growing engineering function with plenty of opportunities to learn and take ownership
- Commercial experience working with Databricks
- Strong hands-on Python, PySpark and SQL skills
- Experience developing production data pipelines and ETL/ELT processes
- Understanding of modern data platforms, data modelling and Lakehouse architecture
- Experience working within a cloud environment, ideally Azure
- Strong problem-solving skills and the ability to communicate effectively with technical and non-technical stakeholders
- Experience with Delta Lake, Medallion Architecture, Azure Data Factory or Unity Catalog
- Exposure to dbt
- Experience working with retail, e-commerce, CRM, marketing or customer data
- An interest in AI-assisted engineering and emerging data technologies