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About the Role

Rimes is seeking a Data Engineer to help build and modernize the data platform that supports its data ecosystem. This role involves hands-on engineering across platform development, tooling, data modeling, and operational improvements, with a focus on creating scalable, reusable capabilities for efficient data pipeline creation. The position also encourages exploration of agentic AI workflows to automate and enhance data platform operations.

Responsibilities

• Actively participate in the transformation of the existing data platform and pipelines using modern technologies like Snowflake and Databricks.
• Build and extend tooling for seamless financial data ingestion and quality assurance.
• Automate repetitive or error-prone processes to reduce manual intervention and improve operational efficiency.
• Contribute to the design and implementation of scalable, reusable data models for financial data.
• Engage in day-to-day engineering tasks, including coding, reviewing, and designing complex data solutions.
• Share knowledge and best practices with peers through code review and technical discussion.
• Participate in efforts to minimize operational costs of data ingestion and pipeline support.
• Identify and implement optimizations in technical workflows and support processes.
• Collaborate with cross-functional teams (Product, Data Onboarding, Data Quality, Operations) to ensure data engineering solutions meet business needs.
• Communicate trade-offs, timelines, and dependencies clearly.
• Apply understanding of financial data (pricing, benchmarks, reference data, corporate actions) to optimize data models, pipelines, and tooling.
• Explore and prototype agentic workflow patterns for data pipelines.
• Stay current with emerging LLM-based tooling and integrate relevant ideas.

Requirements

• 3–5 years of hands-on experience in data engineering or a closely related discipline.
• Demonstrated experience building shared tooling, frameworks, or reusable components.
• Experience working with financial or enterprise data environments is a plus.
• Strong proficiency in Python, comfortable writing production-quality, well-tested code.
• Advanced SQL for data modeling, query optimization, and analytical work.
• Mandatory hands-on experience with Databricks and Spark for large-scale distributed data processing.
• Experience with Snowflake or equivalent cloud warehouses (BigQuery, Redshift, Synapse) alongside Databricks.
• Working knowledge of at least one workflow orchestrator (Airflow, Prefect, or Dagster).
• Practical experience with AWS, Azure, or GCP object storage, compute, serverless, and IAM.
• Comfortable with Git, Docker, and CI/CD pipelines for data platform deployments.
• Experience implementing data quality checks, schema validation, or contract testing.
• Proficient in using AI coding tools such as GitHub Copilot and Claude to accelerate development.
• Comfortable integrating AI coding tools into a daily engineering workflow.

Skills

• Python
• SQL
• Databricks
• Apache Spark
• Delta Lake
• Spark SQL
• Snowflake
• BigQuery
• Redshift
• Synapse
• Airflow
• Prefect
• Dagster
• AWS
• Azure
• GCP
• Git
• Docker
• CI/CD
• Data Quality
• AI-Assisted Development
• GitHub Copilot
• Claude
• Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, Anthropic Agent SDK)
• Streaming data processing (Kafka, Kinesis, Flink)
• Financial data types (pricing, reference data, benchmarks, indices, corporate actions)
• Metadata catalogues (Unity Catalog, DataHub, OpenMetadata, Alation)
• Data contract patterns

Experience Level

• 3-5 years

Benefits

• AXA Gym Membership Discount
• Healthshield Cashback plan
• Healthshield Perks platform (Breeze)
• MetLife Afterlife Support
• Metalife GP 24 hour virtual GP service
• Annual ‘purchase holiday’ scheme
• Chubbs Travel Insurance
• Group Income Protection scheme
• Death in Service Funds
• Referral bonus

About the Company

• Rimes provides enterprise data management solutions to the global investment community.
• Rimes helps clients solve complex data problems, providing investment intelligence that powers over US$75 trillion in assets under management annually.
• Leading institutional investors, asset managers, and service providers rely on Rimes for accurate information and industry-leading technology to make better investment decisions.

Equal Opportunity

• Rimes is committed to promote the values of diversity and inclusion throughout the business.
• Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.