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Lead Data Platform Engineer - AI Foundation
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Lead Data Platform Engineer - AI Foundation
Job summary
A leading fintech company in London is seeking an experienced data engineer to build the foundational data platform for their AI-first transformation. The role requires strong experience with GCP, SQL, and the ability to construct robust data architectures. Competitive benefits include a competitive salary, private health insurance, and the option to work 100% remotely.
Benefits
Responsibilities
- Build the foundational data platform for AI-first transformation.
- Consolidate data ecosystem into a clean, governed, and ML-ready platform.
- Work closely with CTO and ML team to enable AI features through robust data infrastructure.
Skills
Strategic, high-impact & high-ownership role building the data foundation for our AI-first fintech & crypto platform.
Build the foundational data platform for Deblock's AI-first transformation. You'll consolidate our data ecosystem (PostgreSQL, Kafka, BigQuery, GCS) into a clean, governed, and ML-ready platform. You'll work closely with our CTO and ML team to enable AI features through robust data infrastructure.
- Strong experience with GCP (BigQuery, Dataflow, Cloud Storage, DataStream, AlloyDB/CloudSQL)
- Expert-level SQL
- Experience with dbt or similar for data modeling and testing
- Hands-on with streaming platforms (Kafka, Kafka Connect)
- Understanding of CDC tools (Debezium or similar)
- Experience building batch and real-time data pipelines
- Experience building dimensional models (fact/dimension tables) for analytics and ML features
- Experience implementing data governance: PII tagging, column-level security, access controls
- Experience with data quality monitoring with automated checks and alerting
- Understanding of observability: data freshness monitoring, schema change detection, pipeline health dashboards
- Experience optimising BigQuery performance (partitioning, clustering, query optimisation)
- Experience with Feature Store architecture and ML feature requirements
- Understanding of real-time vs batch feature serving patterns
- Prior work with financial services or regulated data environments
- Familiarity with Vertex AI ecosystem
- Experience with Apache Beam/Dataflow transformations
- Background collaborating with ML/data science teams
- Knowledge of vector databases or semantic search concepts
- Competitive salary + stock options
- Private dental + health insurance
- The best tech for your job
- 30 days of paid holidays (excl. bank holidays)
- Option to work 100% remotely or come to the office - your choice!
- Ability to work abroad for 4 months a year
- Leading position with huge impact, autonomy and ownership
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.