Analytics Engineer: dbt Data Modeling & Semantic Layer Lead

SoSafe; Ireland; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Flexible hours

33 vacation days

Open Up programma

Corporate discounts

Virtual events

Dog-friendly HQ

Tech equipment

Referral bonuses

Job summary

SoSafe is building a leading human risk management platform with strong analytics. We seek an experienced analytics/data engineer to model complex SaaS data, integrate events, CRM, and support data, and to define reusable metrics across analytics, product, and AI use cases.

You will own the dbt transformation layer, collaborate with data engineers, and establish best practices in data quality, testing, and documentation to enable self-service and clear data lineage.

Qualifications

• 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 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.

Responsibilities

• 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.

Skills

Analytics engineering

Data modeling

Metrics design

Data quality mindset

English fluency

Cross-functional collaboration

Tools

dbt

SQL

BigQuery

Snowflake

Redshift

MetricFlow

Cube

Job description

SoSafe is building a leading human risk management platform with strong analytics. We seek an experienced analytics/data engineer to model complex SaaS data, integrate events, CRM, and support data, and to define reusable metrics across analytics, product, and AI use cases.

You will own the dbt transformation layer, collaborate with data engineers, and establish best practices in data quality, testing, and documentation to enable self-service and clear data lineage.