DevOps Analyst

Caraffi; Reading; Sur place; GBP 55 000 - 75 000; Plein temps

Résumé du poste

Caraffi is seeking a DevOps Analyst to support and optimise a modern cloud data platform within a major retail data transformation programme. You will work at the intersection of Data Engineering, Platform Operations, and DevOps to keep critical data services running reliably.

You'll monitor pipelines, troubleshoot incidents, assist deployments, improve monitoring and observability, and collaborate with Data Engineers and Platform teams to enhance stability and performance across environments.

Qualifications

• Experience supporting data, cloud, or platform-based environments.
• Strong SQL skills and understanding of data pipelines.
• Exposure to cloud technologies, ideally Azure.
• Experience with Databricks, Azure DevOps, dbt, Snowflake, or similar technologies.

Responsabilités

• Monitor and support data pipelines, workflows, and platform services.
• Investigate incidents, troubleshoot failures, and coordinate resolutions.
• Support deployments and release activities across multiple environments.
• Maintain operational documentation, runbooks, and support procedures.
• Drive improvements in monitoring, alerting, and platform observability.
• Collaborate with engineering teams to enhance platform stability and performance.
• Contribute to automation initiatives and continuous improvement activities.
• Analyse recurring issues and identify opportunities to reduce operational risk.

Connaissances

SQL

Cloud experience

CI/CD

Incident management

Python scripting

Data pipelines

Azure

Communication

Outils

Databricks

Azure DevOps

dbt

Snowflake

Description du poste

Help build and support a modern cloud data platform

We're partnering with a leading international retail organisation undergoing a significant data transformation programme. As they continue to modernise their technology landscape, they're looking for a DevOps Analyst to help support and optimise their enterprise data platform.

This is a fantastic opportunity for someone who enjoys the operational side of data and technology, working at the intersection of Data Engineering, Platform Operations, and DevOps practices.

You'll play a key role in ensuring critical data products and platforms operate reliably, efficiently, and at scale. Working closely with Data Engineers and Platform teams, you'll help monitor, support, and continuously improve a modern cloud-based data ecosystem.

This role is ideal for someone who enjoys solving technical problems, improving operational processes, and ensuring business-critical data services run smoothly.

Key Responsibilities

• Monitor and support data pipelines, workflows, and platform services.
• Investigate incidents, troubleshoot failures, and coordinate resolutions.
• Support deployments and release activities across multiple environments.
• Maintain operational documentation, runbooks, and support procedures.
• Drive improvements in monitoring, alerting, and platform observability.
• Collaborate with engineering teams to enhance platform stability and performance.
• Contribute to automation initiatives and continuous improvement activities.
• Analyse recurring issues and identify opportunities to reduce operational risk.

Experience & Skills

• Experience supporting data, cloud, or platform-based environments.
• Strong SQL skills and understanding of data pipelines.
• Exposure to cloud technologies, ideally Azure.
• Experience with Databricks, Azure DevOps, dbt, Snowflake, or similar technologies.
• Understanding of incident management, root cause analysis, and production support processes.
• Familiarity with CI/CD and release management practices.
• Exposure to Python or scripting languages would be beneficial.
• Strong communication and stakeholder management skills.

Why Apply?

• Join a large-scale business undergoing a major data transformation.
• Work with modern cloud and data technologies.
• Gain exposure to DataOps, DevOps, and platform engineering practices.
• Collaborate with high-performing engineering and analytics teams.
• Help shape the future operational model of a growing data function.

If you're currently supporting data platforms, managing production incidents, coordinating releases, or helping cloud-based data environments run smoothly, this is an opportunity to take those skills into a business investing heavily in its modern data platform and DataOps capabilities.