Senior Analytics Engineer

SoSafe; Greater London; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

33 vacation days

Open Up wellbeing program

Corporate discounts

Virtual events & community activities

Dog-friendly HQ

Tech equipment provided

Referral bonuses

Job summary

SoSafe is seeking an experienced Analytics Engineer to own the transformation layer in dbt and define core metrics across the business. You will model complex SaaS data by integrating events, CRM, and support data into clean dimensional models.

You will collaborate with data engineers, establish testing and data quality practices, and document lineage to enable self-service analytics across teams. Fluent English required.

Qualifications

• 5+ years in analytics engineering or data engineering focused 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 (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.
• Fluent in English.

Responsibilities

• Own the transformation layer in dbt - design, build, and maintain modular, well-tested data models.
• Define and implement core business metrics (activation, engagement, retention) as reusable data assets.
• Model complex SaaS data by integrating product events, CRM, and support data into dimensional models.
• Build and evolve our semantic layer to enable consistent KPI definitions for downstream users.
• Collaborate with Data Engineers on upstream data contracts and event schemas.
• Establish and enforce best practices in testing, documentation, and data quality.
• Document models, metrics, and lineage clearly for self-service across teams.

Skills

Analytical thinking

Cross-functional collaboration

English fluency

Business acumen

Data modeling

Tools

dbt

SQL

MetricFlow

Cube

Job description

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.

• Define and implement core business metrics (e.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.

What you bring:

• 5+ years in analytics engineering or data engineering with a strong focus on data modeling

• Strong proficiency in dbt and SQL- building modular, well-tested models

• Solid understanding of dimensional modeling and metric design

• Experience working 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 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!