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- Tasks: Own and optimise live Azure Data Factory pipelines while ensuring data integrity.
- Company: Established insurance and professional services organisation undergoing tech transformation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact on critical data systems in a stable, hands-on role.
- Qualifications: Experience with Azure Data Factory, SQL, and end-to-end ETL processes.
- Other info: Join a dynamic team focused on continuous improvement and cloud optimisation.
The predicted salary is between 75000 - 80000 £ per year.
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.
The Cloud Data Engineer will work closely with application support, cloud engineering teams, third party vendors, and business stakeholders to support and enhance Azure based data integrations.
Key responsibilities include:
- 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
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.
Cloud Data Engineer in London employer: Pioneer Search
Contact Detail:
Pioneer Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and its tech stack, especially Azure Data Factory and SQL. Be ready to discuss your hands-on experience and how you've tackled data integration challenges in the past.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've troubleshot data feed failures or optimised ETL processes. This will demonstrate your ability to handle the operationally critical aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team and being part of the cloud transformation journey.
We think you need these skills to ace Cloud Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a personal touch.
Showcase Problem-Solving Skills: Since this role involves troubleshooting and optimising data pipelines, share examples of how you've tackled similar challenges in the past. We appreciate candidates who can think critically and act decisively!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pioneer Search
✨Know Your Azure Data Factory Inside Out
Make sure you brush up on your Azure Data Factory skills. Be prepared to discuss your hands-on experience with live pipelines, and think of specific examples where you've troubleshot data feed failures or optimised ETL processes. This will show that you’re not just familiar with the tools, but that you can effectively use them in a production environment.
✨SQL Skills Are Key
Since solid SQL capability is crucial for this role, practice writing and optimising SQL queries. Be ready to explain how you've used SQL for investigation, reporting, and issue resolution in past projects. Having a few examples up your sleeve will demonstrate your ability to handle data validation and troubleshooting.
✨Understand the Bigger Picture
Familiarise yourself with the overall data integration landscape within the organisation. Think about how your role as a Cloud Data Engineer fits into the broader technology and cloud transformation. Being able to articulate how you can contribute to ongoing modernisation and optimisation will set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street, so prepare insightful questions about their current data challenges, team dynamics, and future projects. This shows that you're genuinely interested in the role and helps you assess if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation!