Data Engineer, Data Integration & Performance Platform (12-Month Contract)
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Then, watch for a unique link in your email to apply. This is an entry‑level engineering role on a multi‑year investment platform transformation that is replacing our core investment book of record with BlackRock Aladdin and building a new cloud data platform on Snowflake. We are not looking for someone to simply complete tickets. We are looking for a future senior engineer —someone who wants to learn how enterprise data platforms are built, operated, and scaled, and who is willing to do the hard work of understanding both the data and the business that depends on it.
You will sit inside the Investment Finance and Operations Platforms group and work across four delivery areas. The program is fast‑moving and priorities shift, so you should expect to move between these areas as the work demands: Conversion. Assist in building and testing data pipelines that convert holdings, transactions, and reference data from legacy platforms into Aladdin, including reconciliation and break resolution through parallel run.
Data Integration. Help design and maintain system and vendor integrations into and out of Aladdin across order management, treasury, private markets, and market data providers. Data Platform. Contribute to the build‑out of our Snowflake‑based Integrated Data Platform using a medallion pattern, including data modelling, data quality controls, and lineage. Custom Solutions. Support the design and implementation of data capabilities that close gaps between Aladdin native functionality and what our investment, risk, performance, and finance teams require.
This team also operates the current production investment data platforms, spanning performance, accounting, order management, and integration. You will spend significant time working in that environment, because you cannot design the target state without understanding what today's platforms actually do , which business processes depend on them, and which behaviours must be preserved through the transition.
That current‑state knowledge is a deliberate part of the role, not a distraction from it. Adaptability and curiosity are the single most important attributes here. You should expect to move between delivery areas as priorities shift, and you should be excited by the opportunity to learn across the entire investment data lifecycle—not just one narrow silo. What You Will Own (with Mentorship and Support) Analysis and Requirements (Foundation Building) Work alongside senior data engineers and business analysts to understand business and data requirements.
You will learn to read and interpret business requirements documents, user stories, acceptance criteria, business process models, data flow diagrams, and source‑to‑target mapping specifications. Perform hands‑on data analysis under guidance. You will query source and target systems to profile data, investigate reconciliation breaks, validate transformations, and prove that what was built is correct—learning to do this independently over time.
Participate in design sessions and workshops with investment, operations, risk