Analytics Engineer: Semantic Layer & Data Modeling

Babble; United Kingdom; À distance; GBP 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Public holidays

Parental leave

Résumé du poste

Babble is a Customer Experience-led growth business and trusted advisor for cloud-based technologies. We are seeking an Analytics Engineer to turn raw data into trusted, business-ready datasets powering self-service reporting and decision-making across OMNI, our enterprise analytics platform.

You will design models in Snowflake, curate governed datasets, and maintain the enterprise semantic layer with BI stakeholders.

Qualifications

• Advanced SQL and data modelling skills.
• Experience with Snowflake or similar cloud platforms.
• Experience with modern analytics tooling (dbt, FiveTran).
• Ability to translate business requirements into data assets.
• Strong stakeholder engagement and communication.

Responsabilités

• Turn raw data into trusted datasets powering self-service reporting.
• Design and maintain analytical data models in Snowflake.
• Develop reusable datasets using ELT practices.
• Maintain the enterprise semantic layer for OMNI reporting.
• Collaborate with Data Product Owner, Analysts and stakeholders to translate definitions into assets.
• Implement data quality checks and governance across datasets.

Connaissances

Advanced SQL

Dimensional modelling

Modern data warehousing

Analytical mindset

Stakeholder collaboration

Outils

Snowflake

dbt

FiveTran

Data Factory

Openflow

API integrations

Git workflows

Description du poste

Babble is a Customer Experience-led growth business and trusted advisor for cloud-based technologies. We are seeking an Analytics Engineer to turn raw data into trusted, business-ready datasets powering self-service reporting and decision-making across OMNI, our enterprise analytics platform.

You will design models in Snowflake, curate governed datasets, and maintain the enterprise semantic layer with BI stakeholders.