IT & Software

Senior Analytics Engineer

SoSafe Cyber Security Awareness

London · Greater London · United Kingdom

Overview

In this role you will own the transformation layer with dbt, building modular data models and a reliable semantic layer to power analytics and AI agents. You will define and maintain core business metrics, model SaaS data across product, CRM, and support data, and collaborate with cross-functional teams to ensure data quality and self-service. You’ll shape how data is consumed across analytics, product, and AI use cases, enabling scalable, trusted insights. This is a mission-driven opportunity to advance data infrastructure that supports security awareness scale-ups in Europe.

Pay / Benefits
  • flexible hours
  • 33 vacation days
  • wellbeing and financial support
  • virtual events
  • local meet-ups
  • tech equipment
Responsibilities
  • Design, build, and maintain modular dbt data models that structure and consume data across the company
  • Define and implement core metrics (activation, engagement, retention) as reusable data assets
  • Model complex SaaS data by integrating product events, Salesforce CRM, and support data into dimensional models
  • Develop and evolve the semantic layer to support KPI definitions and downstream consumers, including AI analytics agents
  • Collaborate with Data Engineers on upstream data contracts and event schemas to ensure scalable analytics
  • Establish and enforce data quality, testing, and documentation as part of the development lifecycle
  • Document models, metrics, and lineage to enable self-service and reduce ambiguity across teams
Key requirements
  • 5+ years in analytics engineering or data engineering with a focus on data modeling
  • Strong proficiency in dbt and SQL
  • Solid understanding of dimensional modeling and metric design
  • Experience with cloud data warehouses (BigQuery, Snowflake, or Redshift)
  • Experience with metrics/semantic layers (e.g. dbt metrics, MetricFlow, Cube)
  • Strong data quality mindset (testing, validation, monitoring)
  • Comfortable with event-based data and cross-functional collaboration
  • Ability to turn ambiguous business questions into clear data models
  • Strong business acumen and ability to challenge metric definitions
  • Fluent in English
  • cross-functional collaboration
  • problem-solving
  • communication
  • dbt
  • SQL
  • dimensional modeling

Reference: WJ-747_30158960

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