is a bonus). ProficientSQL and experience of working with large relational databases. Good knowledge of shell scripting, Experience of Big Data development essential (Hive, Impala, Spark). Programming experience in Java desirable but not development experience desirable but not essential (Tableau.MicroStrategy.Experience of planning, co-ordinating and driving delivery.Practical More ❯
independently while also thriving in a collaborative team environment. Experience with GenAI/LLMs projects. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial services, including banking or risk management. Knowledge of capital markets and financial instruments, along with modelling expertise. If More ❯
East London, London, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯
basic scripts) Pydantic experience DESIRABLE SQL PySpark Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala DESIRABLE Azure SQL Server as a HIVE Metastore DESIRABLE TECHNOLOGIES Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA If you meet the More ❯
be a bonus.) - SQL - PySpark - Delta Lake - Bash (both CLI usage and scripting) - Git - Markdown - Scala (bonus, not compulsory) - Azure SQL Server as a HIVE Metastore (bonus) Technologies - Azure Databricks - Apache Spark - Delta Tables - Data processing with Python - PowerBI (Integration/Data Ingestion) - JIRA Due to the nature More ❯
technical specifications; assured code/systems against standards; championed data standards Metadata Management: Designed/Developed data catalogues or metadata repositories; used tools like Apache Atlas/Hive Metastore/AWS Glue/AWS Datazone Data Design: Designed data lakes/data warehouses/data lakehouses/data More ❯
