Data Engineer

Pulse Group; Reading; On-site; GBP 63,000 - 77,000; Full time

Job summary

Pulse Group partners with a major UK retailer to accelerate its data transformation. We seek a hands-on Data Engineer to design and implement scalable data pipelines using Databricks, Python, PySpark and SQL, within an Azure cloud environment.

You will collaborate with CRM, e-commerce and analytics teams to deliver reliable data platforms, embracing Lakehouse and Medallion architectures, and drive data quality and performance across production pipelines.

Qualifications

• 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.

Responsibilities

• 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

Skills

Databricks

Python

PySpark

SQL

ETL/ELT

Data modelling

Lakehouse architecture

Stakeholder communication

Cloud data platforms

AI interest

Tools

Azure

Delta Lake

Medallion Architecture

Azure Data Factory

Unity Catalog

dbt

APIs integration

Job description

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