Senior Data Engineer (SQL Snowflake) London / WFH to £130k
Are you a technologist Data Engineer with a good knowledge of software engineering best practices?
You could be progressing your career in a senior, hands-on Data Engineer role at a tech driven, global Asset Manager with multiple billions of dollars under management.
As a Senior Data Engineer you’ll build and optimise reliable data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C#, while leveraging agentic AI tooling to accelerate delivery. You’ll play a key role in shaping a new Snowflake based data platform, influencing architecture and technology choices while modernising legacy systems and migrating them to the new platform.
Collaborating closely with stakeholders and data owners, you’ll turn business requirements into robust solutions, troubleshoot complex data challenges and ensure high standards of data quality, integrity and reliability. You’ll also mentor junior engineers and help shape best practice across the team, with your work directly supporting the organisation’s ability to deliver better outcomes for clients and investment performance.
Location / WFH:
There’s a hybrid work from home policy with three days in the London office per week where you’ll join a supportive, diverse team environment with a large range of facilities.
About you:
You have strong experience in data engineering, ideally from a software development background
You have expertise with SQL and Snowflake (including query optimisation and performance tuning)
You have experience with data modelling, ELT pipelines and data integration
You can code with Python and / or C#
You have experience within a finance environment
You’re familiar with Dagster and DBT
You’re collaborative and pragmatic, comfortable working directly with stakeholders and data users to understand problems and deliver effective solutions
You have experience of enabling others through technical leadership including mentoring, coaching and training
What’s in it for you:
Salary to £130k
Pension
Private medical insurance including 24 hour GP access
Enhanced parental leave policy
25 days annual leave
Ongoing training and development and financial support for courses
Apply now to find out more about this Senior Data Engineer (SQL Snowflake) opportunity.
Job Overview
Date Posted:
Location:Anywhere
Job Title:Senior Data Engineer SQL Snowflake – Finance