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Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: PSD Group
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 75000 - 110000 GBP Yearly GBP 75000.00 110000.00 YEAR
Job Description & How to Apply Below

Our client is an Investment Management company based in London. This is an opportunity to be part of the design and evolution of their data platform as part of the Data Engineering team, working alongside selected vendor/service provider partners. The role is an important contributor to architecture decisions, working practices, technical design and implementation of new features. The successful candidate will actively participate in the ongoing Data Platform project, evolving and updating a fit-for-purpose architecture in accordance with business needs.

This will include adoption and migration to a new Investment Platform data model and extension to the organisations parent company, enabling them to migrate their data.

Experience

Required:
  • Strong Snowflake as a key skill with experience of Cloud-based (preferably Azure) data platform.
  • Experience with in the Investment Management / Asset Management or Investment Banking sector is highly desirable. Candidates with broader financial services experience will also be considered.
  • Database technologies such as Microsoft SQL Server and Oracle would be beneficial.
  • Experience of implementing cloud-based distributed and scalable solutions, leveraging modern compute, storage, databases and reporting technologies.
  • Understanding of CI/CD pipelines and Dev Ops practices for data engineering.
  • Coding skills (Python, Java, SQL), and experience working with large data-sets, both on-prem and cloud-based.
  • Strong technical skillset, including expertise in data modelling, experimental design, and execution.
  • Understanding of data governance and data security practices.
  • Experience in data integration, ETL/ELT pipeline, and automation/orchestration.
  • Knowledge of cloud-based databases and associated development tools, including virtualisation and container technologies, and awareness of cost optimisation associated with their use.
  • Experience in data analysis and working knowledge of common project management practices (Agile, Waterfall).
  • Experience with pipeline technologies such as Five Tran and Open Flow.
  • Experience of financial applications such as Blackrock Aladdin and knowledge of investment management practices and asset class financial data preferred.
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