Finatal are currently partnered with one of the largest global Private Equity Funds with over £150Bn AUM. They are making significant internal investments in infrastructure and technology, building out a high-performing data platform team. They are now looking for a highly technical Senior Data Engineer to design and deliver a state-of-the-art data infrastructure used across all investment teams, driving scalability and enabling AI adoption. You will work closely with both global investment teams and the central data platform function to streamline operations and improve data access, operating in a modern data mesh architecture with Snowflake, dbt, and Azure Data Factory. With data lineage and solution optimisation high on the agenda, there is also scope over time to hire and lead a small data platform team.
Overview
Role: Senior Data Engineer responsible for designing and delivering a scalable data infrastructure in a modern data mesh context, leveraging Snowflake, dbt, and Azure Data Factory. Collaborate with global investment teams and the central data platform function to improve data access and enable AI opportunities.
Responsibilities
- As the Fund scales, help implement a data mesh architecture on an Azure platform, centered around Snowflake.
- Develop API integrations from source systems into the platform.
- Build and maintain high-quality data transformation pipelines using SQL and dbt, ensuring the right data is captured, of good quality, and optimised for performance.
- Create robust data models to support analytics and reporting needs across the business.
- Apply object-oriented design principles to improve scalability, maintainability, and efficiency in data engineering workflows and architecture.
- Work within an agile development environment, fostering a collaborative and results-focused approach.
- Bring broader software engineering experience across CI/CD, IaC, and containerisation to support infrastructure delivery.
- Collaborate with investment teams to explore AI opportunities, leveraging LLMs for AI-driven workflows and identifying relevant business use cases.
Requirements
- BSc or Master’s in computer science, engineering, or similar, with 5+ years in a senior technical data role.
- Proven expertise with Snowflake on Azure, including modelling in dbt, orchestration in ADF or Airflow, and strong SQL & Python coding skills.
- Cloud engineering experience (ideally Azure DevOps), with the ability to design and deliver modern data architectures.
- Excellent stakeholder management skills to work directly with senior investment teams, translating business needs into technical solutions, combined with the drive, intelligence, and adaptability to excel in a fast-paced, high-performance environment.
- Exposure to IaC (Terraform), vector databases (e.g. ChromaDB), and emerging AI tools is advantageous.
If this is of interest or you know someone who may align with this role, please email Harriet Lander at harriet.lander@finatal.com
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