Data DevOps Engineer

• 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.

• 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., * Data
• AWS
• DevOps
• Kubernetes
• Terraform
• Data DevOps