Senior Analytics Engineer

SoSafe

. 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.

Posted 4/21/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

dbtSQLdata modelingdimensional modelingmetric designdata qualityevent-based datacloud data warehousesBigQuerySnowflake

Soft Skills

business acumencollaborationproblem-solvingcommunicationtesting mindsetdocumentationself-service enablementcross-functional teamworkambiguity resolutionmetric definition challenge