Senior Data Engineering (GCP)

Job Description:

Responsibilities

• Design, build, and maintain scalable data pipelines to prepare complex business data for conversational analytics use cases.
• Develop and maintain semantic layers, business logic mappings, and data structures that improve AI understanding of client taxonomies, KPIs, hierarchies, and business concepts.
• Model and transform complex business data into structures optimised for query generation, interpretation, and insight production.
• Partner with AI and software engineering teams to support LLM workflows, agent orchestration, and governed access patterns.
• Implement robust ingestion, transformation, and data quality processes for structured analytical datasets.
• Support live-query and cached data access patterns depending on agreed architecture and performance needs.
• Ensure data is accessible, explainable, and aligned to business definitions used in evaluation and user acceptance testing.
• Collaborate with Data Scientists to support ground-truth evaluation, validation datasets, and regression testing.

Qualification & Expeirence

• 4+ years of experience in Data Engineering, ideally in cloud-based analytical environments.
• Strong hands-on experience with SQL and Python for data processing and transformation.
• Experience building scalable data pipelines and transformation workflows for large, complex datasets.
• Strong understanding of data modelling, semantic layer design, and analytical data structures.