DataOps Engineer Azure Data Platform

Location:
Leeds

Full Time
X1 Permanent, X1 23 Month Fixed Term Contract

Are you passionate about unlocking the value of data and enabling strategic decision-making? Join Data Services, where our mission is to deliver high-quality, reliable, and secure data services that are accessible, understandable, and actionable. As a Data Ops Engineer, you’ll help build our Data Ops specialism within a growing team of Data Engineers and Dev Ops professionals, ope rationalising and automating our Azure Data Platform to ensure data workflows are robust, efficient, and future‑ready.

This role is open to flexible working patterns, which may include:

• Job share
• Flexible start and end times
• Part time
• Adaptable calendar to fit personal commitments (e.g., school run, appointments)
• 50% in‑office attendance, spread flexibly across the month
• Compressed hours (subject to approval and policy)
• Working from abroad policy (subject to approval and policy)

We’re excited to be growing our presence in Leeds, a city we’ve been connected to for nearly 200 years! Our modern, accessible office in the City Centre offers a supportive, flexible working environment. The majority of roles, including this one, are now available in Leeds, giving you the chance to build a meaningful career outside of London while contributing to our mission from a dynamic and growing location.

You’ll work collaboratively with London‑based colleagues in a hybrid model, with regular opportunities to travel into the London office to meet and connect together in person.
Want to learn more? Discover what makes our Leeds office such a dynamic place to work by visiting our Leeds page for more details.

A typical day might start with a team stand‑up, where you’ll discuss ongoing projects and any blockers. You’ll focus on proactive system monitoring, error resolution, and continuous improvement of our Azure Data Platform. Your work will centre on ope rationalising and automating the data lifecycle, integrating CI/CD data pipelines, streamlining deployment processes, enforcing robust data governance, and optimising operational costs. You’ll collaborate closely with Data Engineering, Data Science, Analytics, and Dev Ops teams, and provide in and out of hours support as part of a rota.

Flexibility is built in, with opportunities to collaborate across locations and upskill within a supportive team environment.

You will have experience in Data Ops, Data Engineering, or Dev Ops, and are eager to develop your skills in these areas. If you’re passionate about cloud data services and automation, we’d love to hear from you.

To work confidently in this role, you will have:

• Demonstrable experience in Data Ops, Data Engineering, Dev Ops, or related roles focused on managing data operations in complex, data‑centric environments.
• Validated experience driving automation of data workflows within a cloud ecosystem.
• Strong interest in data pipeline monitoring and an understanding of data security practices such as RBAC and encryption.
• Implemented data and pipeline observability dashboards, ensuring high data quality, and improving the efficiency of data workflows.
• Experience ensuring compliance with regulatory frameworks and implementing robust data governance measures.
• Demonstrated ability to implement Infrastructure as Code using Terraform, to provision and manage data pipelines and associated resources.

In addition to your technical skills you will also:

• Work in a hybrid office / home environment and participate in an out of hours support rota.
• Have excellent communication and collaboration skills, with both technical and business colleagues.
• Be motivated to learn, upskill and improve yourself in both technical and relevant complementary soft skills.

It would be beneficial, but not necessary, to already have:

• Proven experience in optimizing and scaling high‑volume data operations within enterprise Azure environments.
• Hands‑on expertise with Azure Data Platform components including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL,…