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Role: Principal Data Engineer (Hands-on World Leader)
Location: London, Hybrid
Salary: Above market rate, circa £150k-£200k
This is a chance to work with a real-world leader that aren't just changing the game, they are creating it. Greenfield opportunities are rare, coupled with the chance to work with some of the brightest minds globally. Your peers have helped scale some of the fastest growing brands globally.
Operating within a Financial / Investment style organisation, but experience here isn't essential. The business is agile and nimble and won't suit large FS backgrounds.
This role will be a critical founding member of the businesses new data team. The role will be varied from implementing pipelines, defining best practice and driving real data transformation within a super modern data stack. Helping to create and navigate a complex platform, designing a robust, scalable and AI-enabled data eco-system.
Key Responsibilities
- Architect and implement a data mesh framework with clear data contracts and governance standards.
- Leverage Snowflake's full feature set to support both AI and data engineering use cases.
- Develop and maintain data transformation pipelines using dbt.
- Enhance data literacy and accountability by leveraging Snowflake and dbt features.
- Build and optimize integrations with source systems via APIs, ensuring efficient data ingestion into a Lakehouse architecture.
- Design and implement robust database models, ensuring scalability and performance.
- Apply object-oriented design principles to improve data engineering workflows and system architecture.
- Establish CI/CD workflows and orchestrate data pipelines using modern orchestration tools.
Skills / Experience:
- Hands-on experience with dbt.
- Experience with orchestration tools (e.g., Airflow, Prefect, or Azure Data Factory).
- Proficiency in Python to develop API-based integrations with source systems.
- Strong hands-on experience with Snowflake, ideally in a data mesh context.
- Expertise in Object-Oriented Design and Database Design, ensuring scalable and maintainable solutions.
Beneficial:
- IAC experience such as Terraform
- LLM experience
This role is hybrid London, with a split between office and home working. Well suited to a hands on Principal Data Engineer, Data Architect or more.
