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Meet our client
Our Client is CONFIDENTIAL
About the role
A global SME-sized Asset Management firm seeks a skilled Data Engineer to support and modernise data platforms and analytics capabilities. The role will span three critical focus areas : ETL monitoring and enhancement, business intelligence / reporting, and the automation of key data activities using modern Azure based tools.
Responsibilities
- Support, manage, and develop ETL pipelines to ingest data into a datalake / warehouse.
- Perform issue diagnosis and resolution for data-related anomalies (including loganalysis and error tracing).
- Deliver and migrate BI / MI reports using Power BI and in-house data sources.
- Collaborate with business users to determine reporting needs and design ad-hoc extracts.
- Automate and modernise data management and ETL / reporting processes.
- Transition manual workflows to automated, robust pipelines.
About You
Strong experience in Financial Services, ideally within Asset Management orPrivate Equity.Deep understanding of Microsoft Azure Cloud, including Data Factory, LogicApps, and Azure Functions.Strong SQL skills and experience with ETL pipeline development andmaintenance.Proficiency with Power BI, including advanced DAX.Programming skills in Python or R for analytics and automation.Familiarity with C# for debugging and extending existing processes.Experience with Git and deployment via Azure DevOps or similar pipelines.Understanding of the full SDLC and automation testing best practices.Excellent quantitative and problem-solving abilities.Analytical mindset with a focus on continuous improvement and automation.Strong communication and stakeholder engagement skills.Proactive and collaborative approach in fast-paced financial environments.#J-18808-Ljbffr