Data Engineer - Snowflake, DBT, Azure

PSD Technology Contracts Ltd.; City of Westminster; On-site; GBP 100,000 - 110,000; Full time

Job summary

PSD Technology Contracts Ltd. in London is seeking a Data Engineer to join the Data Engineering team. You will contribute to architecture decisions, design and evolve the data platform, and collaborate with selected vendor partners to deliver new features.

The role emphasizes Snowflake on Azure, DBT, ETL/ELT pipelines, data governance and security, and working with Python/SQL/Java to handle large datasets across on‑prem and cloud environments.

Qualifications

• Experience in Investment Management or financial services preferred.
• 0

Responsibilities

• Contribute to architecture decisions and design the data platform.
• Collaborate with vendor partners to deliver new features.

Skills

Snowflake

Python

SQL

Java

Data modeling

CI/CD

Data governance

Big data

Tools

DBT

FiveTran

OpenFlow

SQL Server

Oracle

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.

• 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.
  London - £100K-£110K per annum Contract/Full Time