Principal Data Engineer
Funding Circle1 month ago
London, United KingdomStaff+
Responsibilities
- Own the Data Platform strategy and execute the multi-phased migration roadmap to the Future State Data Platform on Snowflake and AWS.
- Lead the architecture, design, development, and operation of scalable cloud data warehouse, lakehouse, streaming, and analytics solutions.
- Define ingestion, transformation, orchestration, naming, structural, and publication-boundary standards.
- Identify and resolve architectural bottlenecks, control weaknesses, and technical debt across the data ecosystem.
- Own the Data as a Product community of practice and establish metadata, data contract, schema, versioning, data quality, SLA, SLO, and semantic-layer standards.
- Champion data quality, lineage, observability, governance, production monitoring, alerting, and infrastructure-as-code checks.
- Participate in the Data Architecture Review Board and hold formal decision rights over data architecture proposals.
- Mentor and train technical builders across the company in advanced AI-enabled system creation.
Requirements
- At least 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.
- A proven track record leading complex, large-scale migrations from legacy systems.
- Experience designing source-aligned, aggregate, and consumer-aligned data products.
- Experience with Snowflake, Apache Iceberg, Amazon Redshift, and Amazon S3.
- Hands-on expertise developing data transformation pipelines and orchestrating complex workflows with dbt and Apache Airflow.
- Experience automating infrastructure and deployment pipelines with Terraform and GitHub Actions.
- Ability to implement data governance, technical catalogues, end-to-end lineage, and data product portals.
- Experience using AI tooling to accelerate data engineering workflows, migrations, and platform readiness for AI applications.
- Experience establishing or leading a community of practice and driving standards adoption across teams.
- Proven cross-functional partnership with Product, Engineering, Data Science, and Governance teams.
- Ability to architect safe, maintainable custom AI solutions and automated systems.
Benefits
- London hybrid work arrangement with two days per week in the office.
- Competitive salary and benefits.
- Flexible benefit allowance tailored to personal and family needs.
- Private medical and dental coverage, health assessments, and access to a digital GP.
- Life assurance, share schemes, and financial coaching.
- Dedicated annual learning allowance.
- Electric car and cycle-to-work schemes and season ticket loans.
- Award-winning parental leave policies, including support for fertility treatments and new additions to the family.
- Barista coffee and subsidised Just Eat lunches in the London office.
Categories
Data Engineering
About Funding Circle
Funding Circle builds an online lending platform that provides term loans and lines of credit to small and medium-sized businesses, using data-driven underwriting. It generates interest and fee income and also distributes finance through partners via embedded lending. Founded in 2010 and headquartered in London, the company is listed on the London Stock Exchange and primarily serves the UK market.