About Classic Football Shirts
Classic Football Shirts started in 2006 when university friends Matt Dale and Doug Bierton set out to track down rare football shirts. From those early days in a bedroom full of rails, the company has grown into a thriving business with a talented team, a busy warehouse, and stores in Manchester, London, and the US.
Our passion for football and the stories behind every shirt drives everything we do. At Classic Football Shirts, we work together, stay grounded, and always put our fans at the heart of the business. We share the passion, win together, stay fan-focused, be agile, and stay grounded — values that guide how we operate every day.
To find out more about our story so far please follow this link: https://www.classicfootballshirts.co.uk/about-us
We welcome all suitably qualified applicants and are committed to creating an inclusive environment for all our employees. We have a great work ethic and a friendly group of diverse employees who enjoy working here to help carry out our mission.
The Role: Data Operations Manager
We’re looking for a Data Operations Manager to take ownership of our data operations — ensuring our data pipelines, integrations, and reporting infrastructure run smoothly across our e-commerce ecosystem. This is a hands-on role for someone who enjoys optimising data workflows, improving reliability, and driving automation to deliver high-quality, actionable insights.
Location: Hybrid Role, Manchester Area or Remote
Hours: The role is a full-time position, 39 hours per week, 5 days a week, between Monday and Friday.
Key Responsibilities:
* Manage and optimise data pipelines, integrations, and workflows across our e-commerce platforms.
* Oversee the collection, transformation, and delivery of data — ensuring quality, accuracy, and availability.
* Monitor and troubleshoot data systems, resolving issues quickly and preventing downtime or data gaps.
* Identify and implement opportunities for automation and efficiency in data operations.
* Support data governance, privacy, and security standards across all processes.
* Provide technical guidance and best practices to colleagues working with data.
* Report on operational metrics and continuously improve our data infrastructure.
About You, Qualification and skills:
* Strong background in data operations, data engineering, or data management, ideally within e-commerce or digital-first environments.
* Hands-on experience with ETL/ELT pipelines, APIs, and system integrations.
* Proficient in SQL and experienced with tools such as dbt, Airflow, Fivetran, Stitch, Snowflake, BigQuery, or Redshift.
* Familiar with cloud platforms (AWS, GCP, or Azure).
* Excellent problem-solving and troubleshooting skills, with a proactive and detail-oriented approach.
* Strong communicator who can explain technical issues clearly to non-technical stakeholders.
Preferred Qualifications:
* Bachelor’s degree (or equivalent experience) in Computer Science, Data Engineering, Information Systems, or a related field.
* 5+ years’ experience in data operations or data engineering, ideally in an e-commerce or digital-first environment.
* Proven experience managing and optimising data pipelines, APIs, and integrations at scale.
* A collaborative mindset and ability to work cross-functionally to deliver reliable, insight-driven data.
What’s in it for you?
If you have an interest in sustainable fashion and sportswear then this is a great opportunity to join our team at Classic Football Shirts who are the market leader in original and authentic football shirts
* Well being: Five-a-side football every week, Fruit delivery, other food on site for breakfast/lunch
* Brand new city centre office in the heart of Manchester
* 50% Staff discount
* Casual dress code
* Regular Social events; Summer Party, Christmas Party, Occasional Football Events
* Friendly and supportive team
* Early finish on a Friday
Application:
· Application method: please email CV and Cover Letter to recruitment@classicfootballshirts.co.uk
· Please note: We are not engaging with recruitment agencies for this role, so we kindly ask that agencies do not contact us regarding this vacancy.