Lead Data Platform Engineer - AI Foundation

Posted 4 days agoViewed
120000 - 140000 USD per year
EuropeFull-TimeFintech, AI
Company:MLabs
Location:Europe
Languages:English
Seniority level:Senior
Skills:
PostgreSQLSQLGCPKafkaData modeling
Requirements:
Strong hands-on experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Cloud Storage, DataStream, AlloyDB/CloudSQL) Expert-level SQL proficiency Significant experience with data modeling tools like dbt Hands-on experience with streaming platforms (Kafka, Kafka Connect) Understanding of Change Data Capture (CDC) tools (Debezium or similar) Proven experience building dimensional models (fact/dimension tables) Practical experience implementing data governance measures Experience with implementing automated data quality monitoring Experience setting up data observability Experience optimizing data warehouse performance
Responsibilities:
Build and consolidate the foundational data platform Design and implement robust, resilient batch and real-time data pipelines Apply expert-level SQL and tools like dbt to build and maintain dimensional models Implement and enforce strict data governance policies Implement automated data quality monitoring with checks and alerting Optimize the performance of our data warehouse Implement and maintain full observability of the data platform Work closely with the ML team and CTO to structure data for AI-driven features
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