Cloud Data Engineer

Pioneer Search; City Of London; Hybrid; GBP 75,000 - 80,000; Full time

Job summary

A well established technology firm in London is seeking a Cloud Data Engineer to enhance their Azure data platforms. This role involves maintaining live data pipelines, troubleshooting issues, and ensuring data integrity. Ideal candidates possess strong Azure Data Factory and SQL skills, and will contribute to ongoing improvements in a BAU-focused position. The company offers a full-time hybrid employment model, with a focus on operational excellence and long-term data platform development.

Qualifications

• Strong hands-on experience with Azure Data Factory in a production environment.
• Solid SQL capability for troubleshooting, reporting, and data validation.
• Experience supporting ETL processes and data pipelines end to end.

Responsibilities

• Ownership and support of live Azure Data Factory pipelines.
• Troubleshooting data feed failures and identifying root cause issues.
• Ensuring data integrity, reconciliation, and accuracy across systems.

Skills

Azure Data Factory

SQL

ETL processes

Data integration

Azure SQL

Azure DevOps

Git workflows

CI/CD concepts

Terraform

Job description

Overview

This range is provided by Pioneer Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Permanent | £75,000 to £80,000 | London Hybrid (2 days onsite)

Pioneer Search is partnering with a well established insurance and professional services organisation to hire a Cloud Data Engineer into their London based technology function.

This role sits within a mature Azure data estate and is focused on the reliability, integrity, and ongoing improvement of business critical data integrations. It is a hands on position with ownership of live data pipelines, balancing day to day operational responsibility with continuous improvement and platform optimisation.

Role

Cloud Data Engineer

Azure Data Factory, Azure SQL, Data Integration

Responsibilities

• Ownership and support of live Azure Data Factory pipelines
• Troubleshooting data feed failures and identifying root cause issues
• Ensuring data integrity, reconciliation, and accuracy across systems
• Writing and optimising SQL for investigation, reporting, and issue resolution
• Monitoring and maintaining data flows between applications
• Implementing incremental enhancements to existing ETL processes
• Supporting cloud migration and optimisation initiatives
• Maintaining technical documentation, known issues logs, and technical debt registers

This is a predominantly BAU focused role, with scope to influence best practice, reliability, and long term improvements across the data platform.

Skills summary

• Strong hands on experience with Azure Data Factory in a production environment
• Solid SQL capability for troubleshooting, reporting, and data validation
• Experience supporting ETL processes and data pipelines end to end
• Ability to trace data flows and resolve issues at source
• Experience working with transactional or financial data sets
• Familiarity with Azure SQL, monitoring, and logging tools
• Exposure to Azure DevOps, Git based workflows, and CI/CD concepts
• Terraform or infrastructure as code experience beneficial but not essential
• Comfortable working in a BAU focused, operationally critical role

Why apply

This role offers the opportunity to join an organisation in the midst of a broader technology and cloud transformation, with data playing a central role in how the business operates and makes decisions.

You will take ownership of a live Azure data platform, working on systems that genuinely matter to the business, while contributing to ongoing modernisation, optimisation, and long term platform improvement. It is well suited to someone who values responsibility, stability, and real world impact over constant greenfield delivery.

We are looking to begin interviews immediately so apply following the link or contact Alex: [e-mail]

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Internet

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