Analytics Engineer

We are looking for an Analytics Engineer (f/m/x) to join our data team and help turn Eye Security's data into decisions that move the business. You will work alongside our senior data and analytics engineers to build and maintain the analytics layer that teams across the company rely on every day.

This is a role focused on solid execution and continuous growth. You will own well-scoped analytics projects end-to-end, partner directly with business stakeholders, and grow into broader ownership over time with direct mentorship from the senior engineers on the team.

You will be part of a small, focused data team that treats analytics as a product. Our goal is not just technically correct models but ones that actually impacts how the business makes decisions.

What you will do

• Design, build, and maintain dbt models that power the dashboards and metrics the business runs on.
• Partner with stakeholders across the business to clarify what they actually need - not just what they asked for - and translate it 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 our modeling standards: naming, testing, documentation, and how we layer the warehouse.
• Debug data quality issues end-to-end. When a model fails or a stakeholder reports inaccuracies you own the debugging from source system through transformation to the dashboard a stakeholder is staring at.
• Participate in design discussions, pair with senior engineers, and learn how we make technical decisions.
• Play an active role in onboarding new colleagues, and mentor more junior engineers as the team grows.

• 3-5 years of hands-on experience in analytics engineering, BI engineering, or a similar data role.
• Strong SQL. You can write clean, performant queries, debug someone else's, and structure models others can build on without wincing.
• Working proficiency with dbt. You understand model layering, tests, macros, and how to keep a project maintainable past the first six months.
• Solid grasp of data modeling principles (dimensional modeling, SCDs, grain) and the judgment to know when to follow them and when not to.
• Comfortable with a modern cloud warehouse (we use Snowflake). You can read a query plan well enough to know why something is slow.
• Experience building dashboards in a BI tool (we use Metabase). You can tell a useful dashboard from a decorative one.
• Comfortable working in a Git-based workflow. Branching, reviewing, and merging without drama.
• Ability to work directly with non-technical stakeholders. You ask clarifying questions when requirements are vague rather than guessing and rebuilding later.
• Strong debugging instincts. You can take a report like "the revenue number looks off" and actually chase it back to the source.
• Ability to work independently on well-scoped tasks and communicate progress without being chased.
• Good written and verbal English; comfort working across multiple stakeholder teams.
• Comfort in a scale-up environment where priorities shift and context evolves.

Nice to have

• Python for ingestion of data, transformation, ad-hoc analysis, or scripting.
• Practical understanding of LLMs and agent-based workflows. You've used them for real work, not just demos, and have a sense of where they help and where they don't.
• Experience with a data glossary, catalog, or metric layer tool.

Eye Security protects small and medium-sized European enterprises from cyber threats and the high costs that follow after a successful attack. 

We're a series B international scale up, HQ in the Netherlands, we are hiring across Germany, Netherlands, Belgium and UK. 

Eye Security is making cyber security and insurance solutions easy to access and navigate whilst ensuring the insights we continuously deliver are actionable. For every company we work with.
We use the best possible Managed EDR and Cloud Security Monitoring solutions available on the market and internally we build:

• user-facing platforms that allow for scalability and customisation of cyber protection and insurance coverage
• internal platforms for our security operations and threat intelligence teams to combat bad actors

Recent funding: series B (36M EUR) led by JP Morgan, raised in March 2024 to fuel further growth