Data Engineer




Department: IT & Change




Employment Type: Permanent - Full Time




Location: Manchester, UK




Description



We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and challenging project within the Financial Services/Capital Markets industry. The primary focus of the role would be on building resilient, reusable Data Pipelines to extract, load, and transform raw data into a relational data model. The successful candidate will work across complex, multi-source datasets including loan servicing systems, property and valuation platforms, collections systems, and third-party data providers, delivering reliable and auditable data at scale.




Key Responsibilities

• Serve as the team's ADF, Databricks, Python, PySpark & Spark SQL technical expert


• Responsible for day-to-day collection & ingestion of raw data into corporate data assets


• Work with the team to formalize data flows and data standards


• Enable trusted datasets for portfolio analytics, asset strategy, finance, and risk


• Supervise all data ingestion & integration processes from source to target including the data warehouse, data lake, etc


• Performance tune and optimize all data ingestion and data integration processes


• Partner with Data Stewards and Business Analysts to understand the nature of the data being handled and what an optimal Data Pipeline for it should look like


• Design solutions that are aligned to the target state Data Architecture

• Degree in Computer Science, Information Systems, Data Science, or a related field is preferable


• Proven experience building resilient, reusable Data Pipelines as a Data Engineer or equivalent


• Resourceful, motivated self-starter with the ability to collaborate across business and technology


• Strong analytical, verbal, and written communication skills


• A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)


• Strong experience as a Data Engineer within Real Estate, Credit, Banking, or NPL Asset Management


• Microsoft certification a plus