End Date
Sunday 22 March 2026
We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid Working
Job Description Summary
About this opportunity…
Join Reporting Solutions, part of the Testing, Management Information & Insights team in the Consumer Relationships Chief Controls Office. We’re on a mission to reimagine how colleagues use Controls insight to deliver good customer outcomes.
You’ll work in an agile environment, collaborating with business partners across Consumer Relationships and Consumer Lending. As a Senior Data Engineer, you’ll lead by example, designing and building new data solutions, driving robotics and automation projects, and supporting the growth of your teammates.
Our team culture is built on challenge and care: we raise the bar and take pride in the work we produce.
If you’ve got the skills to transform complex datasets into sleek, user-friendly visualisations that pack a punch, we want to hear from you!
Job Description
Experience: 3-6yrs
Location: Hyderabad
Skill Area
Grade D – Data Engineer
GCP (BigQuery)
Good working knowledge of BigQuery; confident querying and building ETL models within established patterns.
BigQuery SQL
Strong SQL for modelling/reporting; aware of BigQuery features (partitioning, cost‑efficient queries).
Airflow / Cloud Composer
Reads/updates simple DAGs; handles basic dependencies and monitors runs.
dbt
Builds standard dbt models, tests and documentation using team patterns.
Python (ETL/ELT)
Writes clean Python for ingestion and transformation tasks.
Business & Data Modelling
Translates requirements into reporting models with guidance.
Git & GitHub
Uses feature branches, PRs, reviews; resolves routine merge issues.
GitHub Copilot
Uses Copilot to speed up SQL/Python work and documentation.
VS Code
Confident day‑to‑day use of Python/SQL/Git extensions.
Terraform (GCP)
Basic awareness; uses existing modules with support.
CI/CD (Jenkins, Harness)
Understands pipelines and investigates simple issues.
TWS Scheduling
Uses and monitors basic job schedules.
Operational Awareness
Handles routine pipeline issues; escalates complex platform problems.