Data Engineer - Snowflake, DBT, Azure

PSD Technology Contracts Ltd.
London, UK
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£100,000.0 - £110,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Data Analysis Microsoft Azure Big Data Cloud Computing Databases Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL)
+12 more
Data Security DevOps Programming Tools Python (Programming Language) Microsoft SQL Server OpenFlow Oracle (Applications) SQL Databases Scripting Snowflake Containerization Software Coding

Job description

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.

Requirements

  • Strong Snowflake as a key skill with experience of Cloud-based (preferably Azure) data platform.
  • Engineering Scripting using DBT.
  • Experience within 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 DevOps practices for data engineering.
  • Coding skills (Python, Java, SQL), and experience working with large data-sets, both on-prem and cloud-based.
  • Strong technical skill set, 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 FiveTran and OpenFlow.
  • Experience of financial applications such as Blackrock Aladdin and knowledge of investment management practices and asset class financial data preferred.

Benefits & conditions

London - £100K-£110K per annum Contract/Full Time Posted by: PSD Technology Contracts Ltd. Posted: Friday, 30 October 2026

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