4 of 4 Apache Iceberg Jobs in Lanarkshire

Lead Software Data Engineer - Corporate Know Your Customer

Hiring Organisation
Hackajob Ltd
Location
Glasgow, Lanarkshire, Scotland, United Kingdom
Employment Type
Permanent
hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

Software Engineer III - Data Engineering - Corporate Know Your Customer

Hiring Organisation
Hackajob Ltd
Location
Glasgow, Lanarkshire, Scotland, United Kingdom
Employment Type
Permanent
hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

Corporate KYC Principle Software Engineer - Executive Director

Hiring Organisation
Hackajob Ltd
Location
Glasgow, Lanarkshire, Scotland, United Kingdom
Employment Type
Permanent
hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability ...

Corporate KYC Sr Lead Software Engineer

Hiring Organisation
Hackajob Ltd
Location
Glasgow, Lanarkshire, Scotland, United Kingdom
Employment Type
Permanent
Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints Familiarity with AI evaluation and observability practices for LLM workloads ...