Data Engineer/Developer - London | Snowflake | Azure | SQL - Asset Management

Strike IT Services
Manor Park, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 195K

Job location

Manor Park, United Kingdom

Tech stack

Data analysis
Azure
Cloud Computing
Cloud Database
Continuous Integration
Data Validation
Information Engineering
Data Infrastructure
ETL
Data Visualization
SQL Azure
Scrum
Power BI
Azure
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Azure
Snowflake
GIT
Production Code
Data Analytics
QlikView
Real Time Data
Data Management
Terraform
Data Pipelines
Serverless Computing

Job description

  • Platform Development: Support the evolution of a modern data platform by building pipelines and models using Azure Data Factory, Azure SQL, and Snowflake.
  • Technical Collaboration: Work alongside architects and engineering leads to implement secure, well-governed, and performant data infrastructure - leveraging tools like Git, Terraform, DBT, and CI/CD pipelines.
  • Data Engineering: Design and implement ETL/ELT pipelines, transformation logic, and robust ingestion processes from various internal and third-party sources.
  • Stakeholder Engagement: Translate data requirements from business stakeholders (across investment, risk, finance, and operations) into technical specifications and data models.
  • Documentation & QA: Maintain clean, well-documented architecture and development practices, with a focus on testable, reliable code.
  • Analytics & BI Enablement: Support downstream data consumption via Power BI or QlikView, helping to deliver timely, actionable insights.

Requirements

Applicants must be eligible to work in the specified location

A leading asset manager is embarking on a cloud-based data transformation, and is seeking a skilled Snowflake/Azure Data Engineer to support the delivery of a scalable, secure, and insight-ready data platform.

Experience working in asset management & investment management is highly desirable. Knowledge of Aladdin Data Cloud (ADC) is advantageous but not essential., * Proven experience developing Snowflake data platforms in enterprise environments.

  • Strong proficiency with Microsoft Azure, particularly Azure Data Factory, Azure SQL, and Azure Data Lake.
  • Experience with data pipeline orchestration, optimisation, and Real Time or near-Real Time data ingestion.
  • Proficiency in SQL and Scripting for complex transformations and data validation.
  • Familiarity with Power BI or QlikView for delivering data insights and visualisations.
  • Experience with Azure Functions is a plus.
  • Exposure to or experience with Aladdin Data Cloud (ADC) is beneficial but not required.
  • Previous work in asset management, banking, or financial services is highly preferred.
  • Excellent communication skills and experience working in Agile/Scrum teams.

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