Senior Data Engineer SQL Snowflake - Finance
Client Server
Overview
In this Senior Data Engineer role you will design and optimize data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C#, while helping build a Snowflake-based data platform for a global asset manager. You will collaborate with stakeholders to translate requirements into robust solutions, modernise legacy systems, and mentor junior engineers. The role offers hands-on delivery with a focus on data quality, reliability, and scalable architecture. You’ll contribute to improved client outcomes and investment performance in a tech-driven environment.
Pay / Benefits- 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
- Build and optimise data pipelines and integrations
- Shape and migrate to a Snowflake-based data platform
- Collaborate with stakeholders and data owners to translate requirements
- Troubleshoot complex data challenges and ensure data quality
- Mentor junior engineers and promote best practices
- Modernise legacy systems and influence architecture and technology choices
- Support cross-functional teams to deliver robust data solutions
- Strong data engineering experience with a software development background
- Expertise with SQL and Snowflake (including query optimisation)
- Experience with data modelling, ELT pipelines, and data integration
- Proficiency in Python and/or C#
- Finance environment experience
- Familiarity with Dagster and DBT
- Collaborative, pragmatic, stakeholder-facing mindset
- Experience enabling others through technical leadership (mentoring, coaching, training)
- collaborative
- pragmatic problem-solving
- stakeholder communication
- SQL
- Snowflake
- Python
Reference: WJ-747_30231999