Data Engineer
Method Resourcing are delighted to partner with a distinguished Asset Manager based in London looking to hire an Analytics/Data Engineer to join their talented team as they continue to grow, reporting directly into the Head of Data & Analytics.
This role is integral to owning and optimising the firms analytics platform, building scalable pipelines, improving data models, and ensuring governance, quality, and stakeholder alignment.
Liverpool St based, 2/3 days a week in the office.
Responsibilities:
- Own and maintain the Fabric analytics platform, including monitoring performance and resolving issues.
- Build and manage scalable data pipelines using Fabric and Azure Data Factory to ensure reliable data ingestion.
- Develop and support a medallion architecture and apply best-practice semantic modelling (e.g., star schema) to create analytics-ready data structures.
- Collaborate with analytics and business teams while implementing data governance, version control, and quality assurance processes to ensure data integrity and usability.
About you:
- Experience building and deploying PySpark notebooks in data warehousing environments, along with strong SQL skills for data transformation and modelling.
- Solid understanding of relational and dimensional data modelling techniques (e.g., star schema, slowly changing dimensions), with the ability to guide others.
- Hands-on experience with Microsoft Fabric or Azure Databricks, including exposure to Delta Lake and lakehouse architectures.
- Familiarity with CI/CD practices and Git-based version control.
Nice to haves:
- Prior experience in Asset Management / Financial Services
- DAX and Power BI
- Awareness of data governance principles & tools (e.g., Purview, Unity Catalog, Fabric Data Governance).
Please apply via the link or contact me directly at finn.williams@methodresourcing.co.uk.
Best,
Finn