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Data Platform Engineer
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About The Role
This full-time Data Platform Engineer position in London sits with ed Resourcing Ltd, paying £70,000 to £80,000 annually plus a 10% bonus and benefits. The successful candidate manages and evolves a complex Snowflake and Azure ecosystem, moving away from traditional pipeline construction towards infrastructure, automation, and platform engineering. Responsibilities cover building self-service capabilities, automating provisioning, and supporting teams consuming the platform. As the team shifts to a DevOps model, strong technical problem-solving and hands-on infrastructure skills prove essential. Applicants should demonstrate experience with Snowflake, Azure, automation tooling, and platform support, alongside a proactive approach to improving systems and resolving challenges within a collaborative engineering function.
Data Platform Engineer
£70,000 – £75,000 + 10% bonus + excellent benefits
We're looking for a hands-on Data Platform Engineer who enjoys getting stuck into infrastructure, automation, and platform engineering.
This isn't a traditional Data Engineering role where you'll spend your time building data pipelines or applications.
Instead, you'll be working on the platform underneath the data, helping manage and evolve a complex Snowflake and Azure ecosystem, building self-service capabilities, and automating the way teams provision and use the platform.
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The team is increasingly moving towards a DevOps / platform engineering model, so we're looking for someone who enjoys solving technical problems, improving things, and getting hands-on.
What You'll Be Doing
- Managing and developing the Snowflake platform and wider data platform ecosystem.
- Building self-service capabilities that make life easier for engineering and data teams.
- Designing and maintaining Terraform Infrastructure-as-Code.
- Automating platform provisioning and operational processes.
- Building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions.
- Working with Azure data services, including Data Factory, Storage/Data Lake, and emerging AI services.
- Improving platform reliability, monitoring, and observability.
- Troubleshooting infrastructure and platform issues.
- Working closely with engineers, architects, and data teams to improve the platform.
- Helping drive engineering standards and best practice from within the team.
What we're looking for
We're looking for someone who is genuinely hands-on and enjoys being close to the technology.
You'll Ideally Have
- Around 3+ years' experience in Platform Engineering, Cloud Engineering, DevOps, Infrastructure, or Data Platform Engineering.
- Strong Terraform / Infrastructure-as-Code experience — we're looking for someone who really knows their Terraform.
- Strong hands-on Azure experience.
- Around 1–2+ years of Snowflake experience, ideally working with the platform itself rather than simply developing applications on Snowflake.
- Experience with Azure DevOps, GitHub Actions, or similar CI/CD tooling.
- Experience with Azure data services such as Data Factory and Azure Storage/Data Lake.
- Scripting experience with Python, PowerShell, or Bash.
- A genuine interest in automation, self-service, and DevOps.
- A relevant HashiCorp Terraform certification would be great, but strong demonstrable Terraform expertise is equally important.
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The kind of person we're looking for
You don't need to be a manager or have a big leadership background.
We're much more interested in someone who is a solid hands-on engineer who likes getting into the detail, figuring things out, and improving how things work.
If you're a Snowflake administrator who has strong development/IaC skills, a DevOps engineer moving into data platforms, or a Data Engineer who has developed a strong platform engineering skillset, we'd be interested in speaking with you.
There's plenty of opportunity to learn and develop.
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