Data Platform Engineer – AI-Driven Pipelines

Rimes Technologies; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Healthshield Cashback plan

MetLife Afterlife Support

Metalife GP 24 hour virtual GP service

Chubbs Travel Insurance

Death in Service Funds

Referral bonus

Job summary

Rimes is seeking a Data Engineer to actively participate in building and modernising the data platform that underpins our data ecosystem. You will work with the Data Engineering Team Lead, contributing hands-on engineering across platform development, tooling, data modelling, and operational improvement.

The role focuses on reusable, scalable data capabilities to craft high-quality financial data pipelines, while exploring agentic AI workflows and how to automate and enhance platform operations.

Qualifications

• 3–5 years hands-on data engineering experience.
• Proven ability to build shared tooling and reusable components.
• Experience with financial or enterprise data environments is a plus.

Responsibilities

• Platform Development and Modernisation: Transform our data platform and pipelines using Snowflake and Databricks for scalability and efficiency.
• Tooling and Automation: Build tooling for ingestion and QA of financial data; automate repetitive processes.
• Data Model Design: Create scalable, reusable data models for financial data.
• Hands-On Engineering: Code, review, and design complex data solutions; share knowledge through code reviews.
• Operational Efficiency: Reduce ingestion costs and improve pipeline reliability by optimising workflows.
• Collaboration: Work with Product, Data Onboarding, Data Quality, and Operations to meet technical and business needs.
• Financial Data: Apply knowledge of pricing, reference data, and corporate actions to optimise data models and pipelines.
• Agentic Workflows: Explore autonomous agents to trigger or adapt pipelines; stay current with AI tooling.

Skills

Python

SQL

Databricks & Spark

Snowflake

Airflow

AWS

Docker

CI/CD

Data Quality

AI-assisted Development

Job description

Rimes is seeking a Data Engineer to actively participate in building and modernising the data platform that underpins our data ecosystem. You will work with the Data Engineering Team Lead, contributing hands-on engineering across platform development, tooling, data modelling, and operational improvement.

The role focuses on reusable, scalable data capabilities to craft high-quality financial data pipelines, while exploring agentic AI workflows and how to automate and enhance platform operations.