Devops Engineer - SC Eligible

scrumconnect ltd

Leeds

Hybrid

GBP 55,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model (1 day onsite)

Job summary

Scrumconnect Consulting seeks a proactive DevOps Engineer (SFIA Level 4) to support Azure-based data platforms for a UK public sector client. You’ll contribute to IaC, CI/CD, and observability while collaborating with senior engineers and data teams.

The role emphasizes automation, platform reliability, and adherence to security and change governance within a hybrid work model (1 day onsite). LOCATION: UK cities including Leeds.

Qualifications

  • Experience in a DevOps, Platform Engineering, or Data Infrastructure Engineering role.

Responsibilities

  • Support the build, deployment, and maintenance of infrastructure for Azure-based data platforms.

Skills

DevOps practices
Azure cloud
Azure Data Factory
Azure Synapse
Azure Data Lake
Terraform
GitLab CI/CD
Agile/Scrum
Problem solving
Communication

Tools

Terraform
GitLab

Job description

About Scrumconnect Consulting

Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user-centred design, agile delivery, and scalable digital services that genuinely make a difference.

  • Strong focus on work-life balance with a flexible hybrid model (1 day onsite)

  • Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts

Location: Newcastle, Blackpool, Manchester, or Leeds - one day per week on-site

Role Overview

We are seeking a proactive DevOps Engineer (SFIA Level 4) to support and maintain data platform infrastructure on Azure for a public sector client. You'll work with a reasonable degree of autonomy, contributing to infrastructure automation, pipeline reliability, and platform improvements, while collaborating closely with senior engineers, data engineers, and the wider delivery team.

Key Responsibilities
  • Support the build, deployment, and maintenance of infrastructure for Azure-based data platforms

  • Work with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to support data pipeline infrastructure and platform reliability

  • Develop and maintain infrastructure-as-code using Terraform

  • Build and maintain CI/CD pipelines using GitLab, supporting automated build, test, and deployment workflows

  • Collaborate with data engineers and product teams to ensure infrastructure meets platform and data requirements

  • Support the implementation and maintenance of monitoring, alerting, and observability across the data platform

  • Identify, investigate, and help resolve infrastructure and pipeline issues

  • Follow and support security standards, change management, and release governance processes

  • Participate in sprint planning, refinement, and other agile ceremonies

  • Support continuous improvement of automation, platform reliability, and DevOps practices

  • Take a proactive approach to identifying risks, technical debt, and opportunities for improvement, escalating to senior engineers where appropriate

Required Skills & Experience
  • Experience in a DevOps, Platform Engineering, or Data Infrastructure Engineering role

  • Hands-on experience with Azure cloud services

  • Experience with Azure Data Factory

  • Experience with Azure Synapse Analytics

  • Experience with Azure Data Lake

  • Experience with Terraform for infrastructure as code

  • Experience building and maintaining CI/CD pipelines using GitLab

  • A proactive, self-motivated approach, comfortable identifying issues and improvements rather than waiting to be directed

  • Comfortable working within established processes and escalating appropriately, while developing toward greater independent ownership

  • Strong analytical and problem-solving skills

  • Excellent communication and collaboration abilities

Nice to Have
  • Experience with Databricks

  • Experience with Kafka

  • Experience with Kafka Connect

Additional Information
  • SFIA Level: 4

  • Security Clearance: SC Eligible required

  • Location: Newcastle, Blackpool, Manchester, or Leeds (in-office one day per week)

Our Interview Process

We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage.

Equal Opportunities

Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

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