Data Analytics Engineer (DBT)

TL;DR

Data Analytics Engineer (DBT): Building and maintaining DBT models for cross-domain analytics use cases with an accent on creating reusable facts, dimensions, and marts. Focus on implementing dbt tests, ensuring data quality, and translating complex business requirements into analytics-ready datasets for the financial services sector.

Location: Hybrid, London (UK)

Компания

hirify.global is a global digital transformation partner helping enterprises leverage AI and modern technology to drive business impact.

Что делать

• Build and maintain DBT models for cross-domain analytics use cases.
• Create reusable facts, dimensions, and marts for analytics consumption.
• Implement dbt tests, source freshness checks, and reconciliation logic.
• Translate business requirements into data models and metric logic.
• Support data quality checks and model validation.
• Document model definitions, business rules, assumptions, and lineage.

Требования

• Strong hands-on experience with DBT.
• Strong SQL and Snowflake experience.
• Experience building facts, dimensions, marts, and analytics-ready data models.
• Strong understanding of data modelling and metric design.
• Experience working with analysts, product teams, and business stakeholders.
• Must be able to work in a hybrid capacity in London.

Культура и преимущества

• 6-month contract engagement.
• Opportunity to work on high-impact financial services projects.
• Collaborative environment focused on AI-native execution.
• Commitment to diversity, inclusion, and a safe work environment.