- £200-£300 per day Outside IR35
- Opportunity to own and support a business-critical Azure data platform.
About Our Client
Our client is a well-established organisation operating within the financial sector, with a growing data function that plays a key role in supporting business operations and decision-making. They are seeking a hands-on Data Engineer who enjoys problem solving, taking ownership of production issues and working closely with both technical and non-technical stakeholders in a collaborative environment.
Job Description
- Own day-to-day production support for the Azure data platform.
- Monitor and manage the Data Support inbox, ensuring requests are acknowledged and prioritised appropriately.
- Log, track and manage incidents and requests through Azure DevOps.
- Investigate and resolve Azure SQL Database issues including failed jobs, performance bottlenecks, data quality concerns and access requests.
- Monitor, troubleshoot and rerun Azure Data Factory (ADF) pipelines where required.
- Diagnose pipeline dependency issues and implement preventative fixes.
- Perform root cause analysis on recurring incidents and recommend improvements.
- Support Microsoft Fabric and Power BI reporting solutions, tracing issues through source systems and data pipelines.
- Work closely with business stakeholders, providing regular updates during incidents and explaining technical issues in a clear, non-technical manner.
- Collaborate with wider Data and Technology teams on releases, platform changes and escalations.
- Contribute to continuous improvements in monitoring, alerting, documentation and support processes.
- Help maintain platform reliability, data quality and operational efficiency.
The Successful Applicant
- Proven track record supporting production data platforms within Microsoft Azure environments.
- Strong SQL Server and T-SQL capability, including query optimisation, stored procedures, indexing and performance tuning.
- Hands-on knowledge of Azure SQL Database administration and troubleshooting.
- Demonstrated ability to build, monitor and support Azure Data Factory (ADF) pipelines.
- Knowledge of Azure Data Lake and modern data platform architectures.
- Exposure to Microsoft Fabric and Power BI.
- Familiarity with Azure DevOps, ticket management and backlog processes.
- Strong understanding of ETL development and production data pipeline support.
- Exposure to Snowflake would be advantageous.
- Familiarity with Version control systems and CI/CD deployment processes
and CI/CD deployment processes. - Strong analytical and problem-solving skills with a methodical approach.
- Excellent stakeholder management and communication skills.
- Ability to prioritise competing requests and manage expectations effectively.
- Financial services, investment management, private markets or private credit sector knowledge would be beneficial but is not essential.
- A proactive, ownership-focused mindset and willingness to operate within a small, collaborative data team.
What's on Offer
- Opportunity to influence the direction of a modern data platform.
- Exposure to the latest cloud, data engineering, and lakehouse technologies.
- Collaborative and highly skilled technical environment.
- Clear opportunity to mentor others and shape engineering best practice.
- Flexible working arrangements.
Junior Data Engineer in Addlestone employer: Michael Page (UK)
As a leading specialist in commercial solar solutions, our company offers an exceptional work environment that fosters collaboration and professional growth. Located in Manchester, we provide a competitive salary and attractive on-target earnings, alongside a structured pathway for career advancement within the organisation. Join us to be part of a thriving sector where your contributions directly impact sustainable energy projects and where you can develop meaningful relationships with key stakeholders.
