Role Overview

You will help build the data backbone of [Employer hidden — sign up to reveal]. This role sits at the intersection of data engineering and analytics engineering — transforming raw datasets into structured, production-ready intelligence assets. You will work directly on BigQuery architecture, curated data models, and transformation logic.

What You’ll Be Doing

• Data Modelling: Build curated transformation tables, standardise schemas, create reusable SQL views, implement snapshot logic for trend tracking.
• Pipeline Support: Improve ingestion processes, help structure API imports, support version-controlled SQL workflows.
• Platform Development: Help implement dbt or structured transformation frameworks, build logic for topic scoring and intent modelling, contribute to Signals Index development.

What We’re Looking For

• Recent graduate (Computer Science / Data Engineering / Software Engineering)
• Strong SQL fundamentals
• Understanding of data warehousing concepts
• Experience with Git
• Comfortable learning GCP / BigQuery
• Has built a project beyond coursework (portfolio matters)

Bonus: dbt exposure, Python basics, experience with APIs.

About [Employer hidden — sign up to reveal]

[Employer hidden — sign up to reveal] is [Employer hidden — sign up to reveal]’s next-generation market intelligence platform, designed to turn first-party editorial data, behavioural signals, intent data, and expert insight into practical intelligence for technology buyers and vendors. The platform underpins UC Today, CX Today, and [Employer hidden — sign up to reveal]’s emerging data and research products.