Lead Data Platform Engineer - AI Foundation

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

• 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