Data Engineer

PHMG; Manchester; On-site; GBP 60,000 - 85,000; Full time

Job summary

PHMG is expanding its Data Engineering team in Manchester to design, build, and maintain scalable data pipelines and data platforms. The role focuses on modern cloud data technologies, with emphasis on SQL, Python, and data modelling to support reporting and analytics.

You will work with cross-functional teams to improve data architecture, platform performance, and data quality, driving PHMG’s data strategy forward in a collaborative, agile environment.

Qualifications

• Strong SQL skills with complex queries and data transformations.
• Strong Python for data engineering and automation.
• Experience designing scalable data pipelines and ETL/ELT.
• Experience with cloud data platforms and orchestration; Microsoft data ecosystem is a plus.
• Experience data modelling for reporting and analytics.
• Experience with Git-based workflows, CI/CD, testing and monitoring.

Responsibilities

• Design, build and maintain scalable, reliable and maintainable data pipelines and datasets.
• Play a key role in developing and improving our Microsoft Fabric data platform.
• Contribute to the design and development of data warehouse, lakehouse and data integration solutions.
• Apply strong engineering practices across source control, CI/CD, testing, documentation, monitoring and error handling.
• Develop and maintain data models to support reporting, analytics and wider business use cases.
• Collaborate with other Data Engineers and technical teams to improve data architecture, platform performance and engineering processes.
• Work closely with Reporting, Insights and Data Science teams to understand requirements and deliver effective data solutions.

Skills

SQL

Python

Data pipelines

Data modelling

Cloud platforms

ETL/ELT

Git & CI/CD

Agile

Education

Bachelor's degree in Computer Science or similar

Tools

Microsoft Fabric

Terraform

Salesforce

Job description

PHMG is continuing to develop and mature its data capability, focusing onmodernisingour data platform and enhancing the way we work. As part of this continued development, we are looking to strengthen our Data Engineering team andmaximisethe valuefromthe wealth of data held across theorganisation.

We are looking for a Data Engineer to help design,buildandmaintainreliable, scalable data solutions. Working as part of an established Data Engineering team, you will contribute to the development of our data platform, strengthen engineeringpracticesand help improve the quality and reliability of data across theorganisation.

This is an exciting opportunity for an experienced Data Engineer with strong SQL and Python skills to work with modern cloud data technologies, contribute to our engineeringstandardsand play a part in delivering and evolving PHMG’s Data Strategy.

What you will do:

• Design, build andmaintainscalable,reliableand maintainable data pipelines and datasets.
• Play a key role in developing and improving our Microsoft Fabric data platform.
• Contribute to the design and development of data warehouse,lakehouseand data integration solutions.
• Apply strong engineering practices across source control, CI/CD, testing, documentation,monitoringand error handling.
• Develop andmaintaindata models to support reporting,analyticsand wider business use cases.
• Collaborate with other Data Engineers and technical teams to improve data architecture, platformperformanceand engineering processes.
• Work closely with Reporting, Insights and Data Science teams to understand requirements and deliver effective data solutions.

The person we are looking for will have the following experience:

• Strong SQL skills, including experience writing andoptimisingcomplex queries and data transformations.
• Strong Python skills, with practical experience using Python for data engineering, dataprocessingor automation.
• Proven experience designing and building data pipelines, with a strong understanding of modern ETL/ELT practices.
• Experience working with modern cloud data platforms and orchestration technologies. Experience within the Microsoft data ecosystem would beadvantageous.
• Experience of data modelling for reporting and analytics, including dimensional modelling and designing datasets for downstream consumption.
• Experience with modern engineering practices including Git-based source control, CI/CD, testing,monitoringand error handling.
• Strong analytical and problem-solving skills.
• Experience working effectively within agile, cross-functional teams.

Nice-to-have experience:

• Microsoft Fabric, including Warehouse,Lakehouseand Data Factory capabilities.
• Infrastructure as Code approaches and tools such as Terraform.
• API-based, event-drivenor operational system integrations, such as Salesforce.

The Team

The Data Engineering team sits within PHMG’s wider Data function andis responsible forbuilding andmaintainingthe platforms, pipelines and data models that underpin reporting,analyticsand data science across the organisation.

The team works closely with Reporting & Insights, Data Science,ITand otherbusinessteams to make data reliable,accessibleand useful across the business. We are continuing to strengthen our engineering practices, improve ourplatformand build greater resilience and consistency across the data estate.

Why PHMG Tech?

The IT, Development and Data functions within PHMG continue to evolve how we use technology and data to deliver value to the business. We want to build an open, collaborative culture where people communicate honestly, support each other and take pride in delivering good work.

About PHMG:

Established in 1998, PHMG has grown from a renowned Manchester-based business to the world’s leading audio branding agency – working with 36,000 clients in 54 countries across the globe. This expansive client list includes household names of thecalibreof Samsung,Audiand Adidas, as well as SMEs in every sector of the global market. We give each of them a stellar production that combines creative copy, world-class voiceartistryand an exclusive Brand-Sound-Track™ – strengthening their business identity in the most memorable, emotive way.