Lead Data Platform Engineer - AI Foundation

Dubizzle Limited; Remote; GBP 80,000 - 100,000; Full time

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

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

Ability to work abroad for 4 months a year

Leading position with huge impact, autonomy and ownership

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

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)

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