Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II

United States Digital Space LLC; Greater London; On-site; GBP 85,000 - 115,000; Full time

Job summary

the company in London, UK is seeking a talented Software/Data Engineer to join our Data Platforms team and help build, modernise, and support a strategic enterprise data platform within the Asset & Wealth Management sector.

You will work hands-on with Snowflake, SQL, Python, dbt, and CI/CD, develop cloud solutions in Azure, manage deployments with Azure DevOps or GitHub, and collaborate with analysts and engineers to deliver scalable, reliable data products.

Qualifications

• Strong experience in Data Engineering, ETL/ELT, SQL, Snowflake, and Python.
• Experience building and maintaining dbt models and data pipelines.
• Solid understanding of dimensional data modelling (Kimball methodology).
• Hands-on experience with Azure Data Factory, Azure Functions, CI/CD pipelines, and cloud deployments.
• Experience using Azure DevOps or GitHub for source control and release management.
• Knowledge of modern software engineering practices, testing, and code quality standards.
• Asset & Wealth Management or Investment Management domain experience is essential.

Responsibilities

• Design, build, and optimise data pipelines, transformations, and data models using Snowflake, SQL, Python, and dbt.
• Develop and support cloud-based data solutions within Azure.
• Manage source control, deployments, and CI/CD processes using Azure DevOps or GitHub.
• Build automation and integration services using Python.
• Support production environments, troubleshoot issues, and improve platform reliability.
• Collaborate with stakeholders, analysts, and engineers to deliver scalable and maintainable solutions.
• Utilise AI-assisted development tools such as GitHub Copilot to improve productivity and delivery quality.

Skills

Snowflake

SQL

Python

dbt

Azure Data Factory

Azure DevOps

CI/CD

ETL/ELT

Data Modelling

Asset & Wealth Management

pytest

Tools

GitHub

Job description

Role description

Software/Data Engineer – Data Platforms (Asset \& Wealth Management)

Location: London, UK

Employment Type: Fixed-Term Employment

Start Date: ASAP

We are seeking a talented Software/Data Engineer to join our Data Platforms team and help build, modernise, and support a strategic enterprise data platform within the Asset & Wealth Management sector.

This role is ideal for a hands-on engineer with strong Data Engineering experience across Snowflake, Azure, Python, dbt, and CI/CD, who enjoys delivering scalable data solutions and working with modern cloud and AI technologies.

Key Responsibilities

• Design, build, and optimise data pipelines, transformations, and data models using Snowflake, SQL, Python, and dbt
• Develop and support cloud-based data solutions within Azure
• Manage source control, deployments, and CI/CD processes using Azure DevOps or GitHub
• Build automation and integration services using Python
• Support production environments, troubleshoot issues, and improve platform reliability
• Collaborate with stakeholders, analysts, and engineers to deliver scalable and maintainable solutions
• Utilise AI-assisted development tools such as GitHub Copilot to improve productivity and delivery quality

What you will bring

• Strong experience in Data Engineering, ETL/ELT, SQL, Snowflake, and Python
• Experience building and maintaining dbt models and data pipelines
• Solid understanding of dimensional data modelling (Kimball methodology)
• Hands-on experience with Azure Data Factory, Azure Functions, CI/CD pipelines, and cloud deployments
• Experience using Azure DevOps or GitHub for source control and release management
• Knowledge of modern software engineering practices, testing, and code quality standards
• Asset & Wealth Management or Investment Management domain experience is essential

Nice to have skills

• Experience with .NET/C#, React, or TypeScript
• Advanced Snowflake capabilities including Snowpipe, Streams, and Tasks
• Power BI, semantic modelling, or data product experience
• Exposure to AI-enabled solutions and development tools

What We're Looking For

• A proactive engineer who takes ownership and delivers high-quality solutions
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder engagement capabilities
• A collaborative team player who thrives in a fast-paced environment

Key Skills

Snowflake, SQL, Python, dbt, Azure Data Factory, Azure DevOps, CI/CD, ETL/ELT, Data Modelling, Asset & Wealth Management.

Join us and help shape a modern, cloud-first data platform delivering critical insights and analytics across our Asset & Wealth Management business.

#the company

Skills

Data Engineering, Data Modeling, ETL, SQL, Azure Data Factory, Python, pytest, dbt, Snowflake

About the company

the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, the company embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact—touching billions of lives in the process.