Data Engineer - Investment Management - Snowflake | DBT | Python

Strike IT Services
Manor Park, United Kingdom
6 days ago

Role details

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

Job location

Manor Park, United Kingdom

Tech stack

API
Agile Methodologies
Cloud Computing
Cloud Database
Web Scraping
Data Infrastructure
Data Integration
ETL
Data Transformation
Data Mining
Data Systems
Python
Microsoft SQL Server
Reference Data
Power BI
Software Engineering
SQL Databases
Data Processing
Azure
Snowflake
GIT
Data Pipelines
Databricks

Job description

You'll work closely with Business Analysts, Developers, Testers and business stakeholders to design and deliver high-quality data engineering solutions. This role combines hands-on engineering with stakeholder engagement and requires someone who enjoys solving complex data challenges within a fast-paced investment management environment., * Design, build and maintain scalable data pipelines and ETL/ELT solutions

  • Develop robust data models and transformations using Snowflake and dbt
  • Build and optimise data integrations across multiple platforms and applications
  • Work with Azure Data Factory and Databricks to develop modern cloud data solutions
  • Develop Python-based automation and data processing solutions
  • Write high-performance SQL for data extraction, transformation and reporting
  • Work alongside Business Analysts to translate business requirements into technical solutions
  • Participate throughout the full software development life cycle
  • Perform testing and support business user acceptance
  • Ensure data quality, governance and best engineering practices are followed
  • Contribute to continuous improvement of the data platform and engineering standards

Requirements

We're looking for an experienced Data Engineer with strong cloud data engineering expertise, ideally gained within Financial Services or Asset Management.

You should have strong experience with:

  • Snowflake (essential)
  • dbt for data transformation (essential)
  • Python
  • Azure Data Factory
  • Azure Databricks
  • SQL Server
  • Advanced SQL development
  • ETL/ELT pipeline development
  • Cloud-based data engineering
  • Data modelling
  • API and data integration
  • Git and Agile delivery methodologies
  • Full software development life cycle

Experience within investment management or financial services, including exposure to one or more of the following:

  • Front Office or Investment platforms
  • Asset Management
  • Market or reference data
  • ESG/Sustainability data
  • Bloomberg Aladdin or Aladdin Data Cloud (ADC)
  • Power BI
  • Web scraping
  • Enterprise scheduling tools such as JAMS

Benefits & conditions

Working within a highly collaborative Agile environment, you'll play a key role in designing, developing and enhancing modern cloud-based data solutions that support Front Office investment teams and critical business functions.

This is an excellent opportunity to work on a modern Azure and Snowflake data platform, helping to deliver scalable data pipelines, analytics capabilities and business-critical integrations.

Apply for this position