Senior Analytics Engineer

Salary: £60,000 - 100,000 per year

Requirements:

• 5+ years in analytics engineering or data engineering with a strong focus on data modeling
• Strong proficiency in dbt and SQL, including building modular, well-tested models
• Solid understanding of dimensional modeling and metric design
• Experience working with cloud data warehouses such as BigQuery, Snowflake, or Redshift
• Experience with metrics or semantic layers such as dbt metrics, MetricFlow, or Cube
• Strong data quality mindset, including testing, validation, and monitoring
• Comfortable working with event-based data and cross-functional teams
• Able to turn ambiguous business questions into clear data models
• Strong business acumen with the ability to challenge metric definitions and ensure they reflect real business outcomes
• Fluent in English
• Familiarity with how LLMs consume structured data, such as semantic layers, metrics registries, or YAML-based context
• Interest in building data infrastructure that serves AI agents, not just BI tools
• Experience modeling product usage data, either event-based or session-based

Responsibilities:

• Own the transformation layer in dbt by designing, building, and maintaining modular, well-tested data models that define how data is structured and consumed across the company
• Define and implement core business metrics such as activation, engagement, and retention as reusable, versioned data assets, ensuring consistent definitions across analytics, product, and AI use cases
• Model complex SaaS data by integrating product events, CRM data from Salesforce, and support data into clean, well-defined fact and dimension models
• Build and evolve our semantic layer by creating a reliable abstraction over our data that enables consistent KPI definitions and supports downstream consumers, including LLM-based analytics agents
• Collaborate with Data Engineers on upstream data contracts and event schemas, ensuring raw data is structured to support scalable, reliable analytics
• Establish and enforce best practices in testing, documentation, and data quality as part of the standard development lifecycle
• Document models, metrics, and lineage clearly to enable self-service and reduce ambiguity across teams

Technologies:

• AI
• AI Agents
• Redshift
• BigQuery
• Cloud
• CRM
• Support
• LLM
• SQL
• Salesforce
• Security
• Snowflake
• dbt

More:

SoSafes ambition is to become the leading human risk management provider in Europe. Our award-winning awareness platform drives behavioural change through effective and engaging cybersecurity and data protection training and simulations. We are a fast-growing security awareness scale-up on a mission to make the digital world safer by addressing the human factor in cybersecurity. Backed by leading VCs such as Highland Europe and Global Founders Capital, we are expanding globally and looking for team players who want to drive meaningful change, take ownership of their work, and grow with us. We offer flexible hours, 33 vacation days, wellbeing and financial support, virtual events, collaborative team activities, opportunities for local meet-ups, tech equipment, referral bonuses, and a dog-friendly HQ. The role is remote in the UK, Ireland, or Portugal, with office access available in London, Dublin, and Lisbon.

last updated 36 week of 2026