Junior Data Engineer

We're looking for a Junior Data Engineer to take ownership of production support across an Azure-based data platform within the financial services sector, ensuring Azure SQL Databases, Azure Data Factory pipelines, Microsoft Fabric and Power BI reporting solutions remain stable, reliable and performant

Client Details

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.

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.

Profile

• 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.

Job 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.