3 months ago
Remote, Portugal +2 moreSenior
Responsibilities
- Own the dbt transformation layer and build modular, well-tested data models.
- Define reusable, versioned business metrics such as activation, engagement, and retention.
- Integrate product events, Salesforce CRM data, and support data into fact and dimension models.
- Build and evolve a semantic layer supporting consistent KPI definitions and downstream LLM-based analytics agents.
- Collaborate with Data Engineers on data contracts and event schemas.
- Establish testing, documentation, validation, monitoring, and data-quality practices.
- Document models, metrics, and lineage to enable self-service analytics.
- Translate ambiguous business questions into clear data models and challenge metric definitions to align with business outcomes.
Requirements
- At least 5 years of analytics engineering or data engineering experience focused on data modeling.
- Strong proficiency in dbt and SQL.
- Strong understanding of dimensional modeling and metric design.
- Experience with BigQuery, Snowflake, or Redshift.
- Experience with metrics or semantic layers such as dbt metrics, MetricFlow, or Cube.
- Experience working with event-based data and cross-functional teams.
- Strong data-quality mindset, including testing, validation, and monitoring.
- Strong business acumen and ability to define metrics that reflect business outcomes.
- Fluent in English.
- Familiarity with how LLMs consume structured data, including semantic layers, metrics registries, and YAML-based context, is preferred.
- Experience modeling product usage data, including event-based or session-based data, is preferred.
Benefits
- Flexible hours and 33 vacation days.
- Access to Open Up and corporate discounts.
- Virtual events, collaborative team activities, and opportunities for local meet-ups.
- Tech equipment, referral bonuses, and a dog-friendly headquarters.
- Full-time employee benefits may vary slightly by office location.
- Role is available in the UK, Ireland, or Portugal; office access is available in London, Dublin, and Lisbon.
Tech Stack
Categories
Data Engineering
About SoSafe
SoSafe provides a human risk management and security awareness platform for organizations, combining interactive training, phishing simulations, and behavioral risk analytics delivered as SaaS. The product helps reduce social-engineering risk and demonstrate compliance through measurable user behavior data and reporting. The company is privately held and headquartered in Cologne, Germany, and serves customers across Europe in regulated and other security-sensitive sectors.