Data Engineer

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 About you 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