Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Job Summary
Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Design and implement data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Join us as a Reporting PySpark/AWS Analyst, to play a key role in delivering the high‑quality reporting and data solutions that support clear, informed actions across the organisation.
Matching Summary
Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Skills & Requirements
Must-have
PySpark
AWS
Snowflake
DBT
SQL queries
Data pipelines
Data models
Nice-to-have
Tableau dashboards
Financial domain understanding
Credit card business area
Barclays data platforms
Risk and controls
Change and transformation
Business acumen
Key Requirements
Experience with PySpark, AWS, Snowflake and DBT
Experience writing, refining and optimising SQL queries
Experience engaging with stakeholders
Experience delivering reporting solutions using Snowflake, DBT and AWS-based data warehouse environments
Ability to prepare and structure datasets for reporting