Python Developer with Gen AI

Python Developer with GenAI

Support lightweight internal tooling, reporting views, query updates, and structured data outputs.
Work with Python / Django-based Frameworks where required.
Write, amend, and troubleshoot SQL queries.
Support basic reporting outputs, data extracts, and data quality analysis.
Understand or work around DBT-based ETL processes underpinning the reporting layer.
Make lightweight UI or workflow changes where required.
Help automate or streamline recurring tracker refresh, reporting, and reconciliation activities.
Document queries, data flows, tooling changes, and repeatable reporting processes.

Additional Skills Required
Hands-on Python experience.
Experience with Django or similar Python web framework.
Strong SQL proficiency.
Ability to work with structured data from multiple sources.
Understanding of relational databases, data models, and ETL / ELT concepts.
Ability to understand or work around DBT transformations.
Ability to support lightweight UI changes and basic reporting outputs.
Experience with Git, dashboards, Metabase, Databricks, Splunk, Power BI, REST APIs, HTML / CSS / JavaScript is desirable.

Key Deliverables
Completed technical assessments and validated system / service / asset information.
Confirmed ownership, dependency, tagging, readiness, and compliance status.
Validated OOS remediation plans and exemption evidence.
Updated trackers, dashboards, reports, FAQs, and Confluence guidance.
Reduced validation backlog and improved data quality.
Clear risks, blockers, actions, decisions, handover notes, and escalation records.

For the Data & Tooling role: improved queries, reporting outputs, data extracts, lightweight tooling changes, and documented repeatable data processes.