Data Engineer

Big Data Southampton Permanent Up to £65,000 + up to 25% bonus Apply Now

01The role


One of the many functions that great data engineers like you can build to create abstract, broad, efficient, and scalable solutions so that the rest of your team can focus on the data itself.

You’re the front line in the data science hierarchy of needs and the giants on whose shoulders the data scientists stand.

Globally, we create 2.5 quintillion bytes of data every day, and data engineers like you are more important than ever.

It’s clear your skills are valuable, so what do you want?

To work with a company doing challenging and meaningful work?

A company whose applications have over one million users a month in the UK?

Think bigger. 

Think Saudi Arabia, the USA, Denmark, and Switzerland, that’s a lot of users, and it’s just for starters too.

That’s the opportunity at one of the UK’s most loved and innovative fitness companies, who prioritise quality development work just as high as profits.

You’ll join a data team of five in the broader tech team of 40 where there are no corners cut, meaning you’re free to do your best work and create something to be proud of.

They’re expanding globally, so one challenge would be to help build a new group BI platform and migrating all the UK sources to it.

The next challenge is understanding the BI setup of the large fitness company in Denmark they recently acquired and migrating them away from that to the new platform.

The data platform is based on a framework of metadata-driven data pipelines built within a modern Azure Data Warehouse tech stack, including Data Lake Storage, Data Factory, orchestration pipelines, Databricks data transformations, data science models, Azure DevOps, Python and SQL.

You choose how office-based or remote you’d like to be, but you’ll need to come to the office occasionally, so ideally, you’d be within a 75-mile radius of the office in Southampton.

02Skills, salary and benefits

Required skills

You’ll have a good background in data engineering, using technologies like:

  • Azure – Data Warehouse / Databricks / Data Factory / Data Lake Storage / DevOps
  • Python
  • SQL

Bonus skills

These aren’t a requirement, and if you don’t have them, you will get to learn them.

  • Azure Analysis Services (AAS)
  • Power BI
  • T-SQL
  • Apache Spark or other big data processing frameworks
  • CI/CD tools like TeamCity / Octopus Deploy
  • Data Warehouse QA
  • BDD with SpecFlow or Gherkin Syntax
  • Rest API
  • IaC – Ansible or Terraform
  • Azure PaaS products
  • React.js
  • Commercial awareness of data security and GDPR


  • Up to 25% bonus (Paid on a mix of business and personal performance)
  • Flexible hours
  • 25 Days Holiday + bank hols + birthday
  • Private Medical / Life Insurance
  • Pension
  • Free gym membership + 1
Apply Now
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