Lead Data Platform Engineer - AI Foundation

Posted 4 hours 48 minutes ago by Deblock Group

Permanent
Full Time
Other
England, United Kingdom
Job Description
Overview

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.

Core Requirements
  • 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)
Nice to Have
  • 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
Benefits
  • 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