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# Senior Data Engineer

- **Company:** Finatal
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Transformation, Data Security, Python (Programming Language), Object-Oriented Software Development, Standard Sql, Software Engineering, SQL Databases, Technical Data Management Systems, Azure Data Factory, Large Language Models, Snowflake, Information Technology, Terraform, Api Management
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840591525-senior-data-engineer

## About the Role

* 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.

## Description

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., * 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.


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