Data Engineer
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Role details
Tech stack
Job description
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.
Requirements
- 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’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
Benefits & conditions
- 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
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