Senior Analytics Engineer

SoSafe · United Kingdom RemoteRemotosenior

En corto

▸Ingeniero de analytics senior que diseña y mantiene modelos de datos en dbt para transformar datos de SaaS.
▸Trabajas con eventos, CRM y soporte para crear métricas de negocio consistentes y soportar uso por productos, IA y BI.
▸Destaca por construir una capa semántica para que tanto humanos como agentes de IA accedan a métricas claras y confiables.

Fluent in English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓5+ años en ingeniería de analytics o data engineering con foco en modelado de datos
✓Experiencia sólida con dbt y SQL para modelos modulares y bien probados
✓Conocimiento en modelado dimensional y diseño de métricas de negocio
✓Experiencia con data warehouses en la nube (BigQuery, Snowflake o Redshift)
✓Experiencia con capas semánticas o métricas (dbt metrics, MetricFlow, Cube)
✓Capacidad para convertir preguntas ambiguas en modelos de datos claros

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

dbtSQLBigQuerySnowflakeRedshiftSalesforcedbt metricsMetricFlowCubeYAML

¿A quién escribirle en SoSafe?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. a. - we invite you to be part of the solution!" Location: UK, Ireland, or Portugal. Candidates must have work authorization in one of these countries. Office access available in London, Dublin, and Lisbon. Here's how you'll make a difference: Own the transformation layer in dbt - design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company. g. activation, engagement, 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 (Salesforce), and support data into clean, well-defined fact and dimension models. Build and evolve our semantic layer - 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 in a way that supports scalable, reliable analytics. Establish and enforce best practices in testing, documentation, and data quality- making these part of the standard development lifecycle. Document models, metrics, and lineage clearly - enabling self-service and reducing ambiguity across teams. g. dbt metrics, MetricFlow, Cube) Strong data quality mindset (testing, validation, 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. Nice to have: Familiarity with how LLMs consume structured data- e.g. semantic layers, metrics registries, YAML-based context- and an interest in building data infrastructure that serves AI agents, not just BI tools. Experience modeling product usage data (event-based or session-based). What we offer* Work/Life balance: Flexible hours, 33 vacation days Wellbeing and financial support: Access to Open Up, corporate discounts Connection & community: Virtual events, collaborative team activities, and opportunities for local meet-ups And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ * Perks and benefits listed above are for full-time employees and may vary slightly by office location. These are just a sample- you'll learn more during the interview process. About Us At SoSafe, we’re on a mission to make the digital world safer by addressing the human factor in cybersecurity. As one of the fastest-growing security awareness scale-ups worldwide, we leverage behavioural science and data-driven learning to empower people against cyber threats. Our Human Risk Management approach helps organisations turn their employees into their strongest line of defence. Backed by leading VCs like Highland Europe and Global Founders Capital, we’re rapidly expanding across the globe. We’re looking for team players who want to drive meaningful change in cybersecurity, take ownership of their work, and grow with us. If you thrive in a vibrant, purpose-driven environment that values innovation, diversity, and collaboration, then this is the place for you!

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