Data DevOps Engineer

2 weeks ago

Watford, Hertfordshire, United Kingdom 0ebd341e-b214-428f-b278-d55548574c2d Full time £43,000 - £85,000 per year

Data DevOps Engineer

Introduction

This organisation is transforming how millions of people engage with data, insight, and digital experiences. They're scaling a modern BI function and need someone who can keep their cloud environments, pipelines, and releases running smoothly.

Role Overview:

Location:
Hybrid Watford - 3 days on site

Package:
Up to £85,000 + benefits

Industry:
Retail, gaming, digital & data

What You'll Be Doing:

  • Owning cloud integration across AWS for BI workloads, ensuring infrastructure is consistent, secure, and scalable.
  • This role is brand new and it's being introduced to bridge the gap between DevOps and Data with the data departments.
  • Building and maintaining CI/CD pipelines that support ETL and reporting releases.
  • Managing code promotion processes, version control standards, and Jira integrations.
  • Overseeing non-production environments to ensure data freshness, alignment, and smooth testing.
  • Orchestrating data provisioning, refreshes, and automated workflows for analytics teams.
  • Optimising ETL and Power BI code to improve performance, efficiency, and reliability.
  • Implementing observability and logging frameworks to monitor data services and deployments.
  • Partnering with engineering, data, and reporting teams to coordinate releases and resolve technical challenges.
  • Embedding security, governance, and compliance practices across AWS environments.
  • Monitoring performance and cost usage, recommending improvements and efficiencies.
  • Driving continuous improvement across pipelines, tooling, automation, and release processes.

Main Skills Needed:

  • Strong hands-on AWS experience across Redshift, S3, EMR, Lambda and infrastructure-as-code.
  • Demonstrated ability to align with DevOps while maintaining distinct responsibilities within the BI function.
  • Proficient with CI/CD tooling such as Jenkins or GitHub Actions.
  • Advanced Python scripting and solid SQL capability.
  • Experience with large-scale data processing (Spark/EMR) and data warehousing concepts.
  • Knowledge of Docker/Kubernetes and containerised deployment workflows.
  • Familiarity with Jira integrations, release management, and environment refresh processes.
  • Skilled in optimising ETL pipelines and Power BI models, DAX, and refresh strategies.
  • Strong troubleshooting skills across cloud, data pipelines, and distributed systems.
  • Experience with observability tools such as CloudWatch, Datadog, Prometheus or Grafana.
  • Comfortable working in agile environments with multiple concurrent release cycles.

What's in It for You:

  • The chance to work on a major national-scale transformation with significant technical scope.
  • A forward-thinking environment that embraces automation, innovation, and modern tooling.
  • Supportive teams, strong cross-functional collaboration, and room to influence best practice.
  • Career development across cloud engineering, DevOps, data engineering, and BI.
  • Inclusive culture where your contribution directly supports meaningful social impact.

Call to Action:

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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