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Funding Circle UK

Principal Data Engineer

Funding Circle UK

. Own Funding Circle’s Data Platform strategy and execute the multi-phased roadmap for migration to the Future State Data Platform on Snowflake and AWS .

Posted 10/9/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in Data Engineering and Data Architecture, with a strong focus on cloud data platforms, particularly on Snowflake and AWS. Proven ability to lead complex migrations, implement data governance, and mentor teams in advanced AI system creation.

Highest-signal resume keywords
Data EngineeringData ArchitectureCloud Data PlatformsSnowflakeAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data MigrationData Product DesignData GovernanceData QualityData LineageInfrastructure AutomationAI ToolingApache AirflowDbtTerraform
Soft Skills
MentoringCross-Functional CollaborationLeadership
Tools & Technologies
Amazon RedshiftS3GitHub ActionsApache Iceberg
Industry Keywords
Data Platform StrategyData AnalyticsCommunity of PracticeTechnical CataloguesSemantic Layers

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSCloudTerraform

About the role

Key responsibilities & impact
  • Own Funding Circle’s Data Platform strategy and execute the multi-phased roadmap for migration to the Future State Data Platform on Snowflake and AWS
  • Advise on migration architecture, transition states, historical data migration, and legacy decommissioning
  • Lead analysis, architecture, design, and development of the Data and Analytics estate
  • Lead architecture, design, and development of scalable cloud data warehouse, lakehouse, streaming, and analytics solutions
  • Define ingestion, transformation, orchestration, naming, and structural conventions
  • Define the publication boundary between Product Engineering and Data Engineering
  • Identify, mitigate, and resolve architectural bottlenecks, control weaknesses, and technical debt
  • Own the Data as a Product Community of Practice and standards for metadata, data contracts, schemas, versioning, data quality, SLAs, SLOs, and semantic layers
  • Champion data quality, lineage, observability, and governance through production code, checks, SLAs, and alerting
  • Serve on the Data Architecture Review Board and exercise formal decision rights over data architecture decisions
  • Report to the VP of Data and sit on the Data Leadership Team
  • Mentor and train builders across the company in advanced AI system creation

Requirements

What you’ll need
  • Minimum of 10 years of experience in Data & Analytics
  • Experience in Staff, Principal, or equivalent roles in Data Engineering, Data Architecture, or Data Platform
  • Extensive hands-on experience designing, building, and operating cloud data platforms on Snowflake and AWS
  • Proven track record leading complex, large-scale migrations from legacy systems
  • Experience designing data products across source-aligned, aggregate, and consumer-aligned patterns
  • Experience with Snowflake, Apache Iceberg, Amazon Redshift, and S3
  • Hands-on expertise with dbt and Apache Airflow
  • Experience automating infrastructure and deployment pipelines using Terraform and GitHub Actions
  • Ability to implement data governance, technical catalogues, end-to-end lineage, and data product portals
  • Experience leveraging AI tooling for data engineering workflows, migrations, and platform readiness for AI applications
  • Experience establishing or leading a community of practice
  • Proven cross-functional partnership with Product, Engineering, Data Science, and Governance teams
  • Ability to mentor builders in advanced AI system creation
  • Ability to architect safe, maintainable custom AI solutions and smart automated systems

Benefits

Comp & perks
  • Competitive salary + benefits
  • Benefit allowance tailored to your life and family
  • Private medical and dental insurance
  • Health assessments
  • Digital GP access
  • Life assurance
  • Share schemes
  • Financial coaching
  • Dedicated annual learning allowance
  • Electric car scheme
  • Cycle-to-work scheme
  • Season ticket loans
  • Award-winning parental leave policies
  • Support for fertility treatments and new additions to the family
  • Barista coffee in the London office
  • Subsidised Just Eat lunches