At a Glance
- Tasks: Design and develop cloud-based data solutions for investment management.
- Company: Leading investment management organisation with a collaborative Agile culture.
- Benefits: Hybrid working, competitive pay, and potential contract extension.
- Other info: Opportunity for growth in a fast-paced environment.
- Why this job: Join a dynamic team and tackle complex data challenges in finance.
- Qualifications: Experience with Snowflake, Python, and SQL; financial services background preferred.
The predicted salary is between 60000 - 80000 £ per year.
Contract: 4-month Initial Contract (Likely Extension)
Location: London (Hybrid Working)
IR35 Status: Inside IR35
An exciting opportunity has arisen for an experienced Data Engineer to join the technology team of a leading investment management organisation. 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.
The Role
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.
Key Responsibilities
- 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 lifecycle
- 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
Experience
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)
- Python
- SQL Server
- Advanced SQL development
- API and data integration
- Git and Agile delivery methodologies
- Full software development lifecycle
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
- Power BI
- Web scraping
- Enterprise scheduling tools such as JAMS
Data Engineer - Investment Management - Snowflake | DBT | Python employer: Strike IT Recruitment Services
Strike IT Recruitment Services is an excellent employer, offering a vibrant work culture that fosters innovation and collaboration within a dynamic technology team in London. With a hybrid working model, employees enjoy the flexibility to balance their professional and personal lives while engaging in meaningful projects that enhance their skills and career growth in the financial services sector.
Contact Details:
Strike IT Recruitment Services Recruitment Team
