Analytics Engineer

1w1 week ago

Eye Security

The Hague, NL · Full-time · €55,000 – €75,000

About this role

Eye Security provides cybersecurity with embedded cyber insurance solutions for organizations in Europe. Headquartered in the Netherlands, we are over 170 FTEs and growing internationally. We seek an Analytics Engineer to join our data team and turn data into decisions that move the business.

You will work alongside senior data and analytics engineers to build and maintain the analytics layer teams rely on daily. Own well-scoped analytics projects end-to-end and partner directly with business stakeholders. This role focuses on solid execution and continuous growth.

Be part of a small, focused data team that treats analytics as a product. Goals go beyond technically correct models to ones that impact business decisions. Work on projects with an international footprint, solving real-world challenges.

Grow into broader ownership with direct mentorship from senior engineers. Participate in design discussions, pair with seniors, and learn technical decision-making. Play an active role in onboarding and mentoring as the team expands.

Requirements

3–5 years of hands-on experience in analytics engineering, BI engineering, or a similar data role
Strong SQL to write clean, performant queries, debug others, and structure maintainable models
Working proficiency with dbt including model layering, tests, macros, and project maintainability
Solid grasp of data modeling principles like dimensional modeling, SCDs, grain, and judgment on application
Comfortable with a modern cloud warehouse like Snowflake and reading query plans for performance
Experience building dashboards in a BI tool like Metabase to distinguish useful from decorative
Comfortable working in a Git-based workflow with branching, reviewing, and merging
Strong debugging instincts to chase down issues like inaccurate revenue numbers end-to-end

Responsibilities

Design, build, and maintain dbt models that power the dashboards and metrics the business runs on
Partner with stakeholders across the business to clarify needs and translate into reliable analytics products
Build and improve Metabase dashboards and questions, and help drive self-serve adoption across the company
Help raise the bar on modeling standards: naming, testing, documentation, and warehouse layering
Debug data quality issues end-to-end from source system through transformation to dashboards
Participate in design discussions, pair with senior engineers, and learn technical decisions
Play an active role in onboarding new colleagues and mentor more junior engineers