Senior Analytics / Data Engineer - Enterprise Data Platform

🌀 The Company Filigran, founded in October 2022, stands out in the cybertech ecosystem for its commitment to revolutionizing cyber threat management with a proactive approach. Its mission is to develop innovative open-source solutions designed to anticipate cyber threats, identify security gaps, and strengthen organizational security posture. Filigran solutions are now trusted by over 6,000 public and private organizations worldwide. 🎯 The Role We're looking for a Senior Analytics / Data Engineer to join our Data team and take ownership of Filigran's Enterprise Data Platform (EDP) end-to-end — from ingestion to consumption. This is a senior, hands-on role: you turn raw data from across the company into reliable pipelines, trusted models, and governed, high-quality data that every team can rely on to make decisions. The core of the role is Analytics Engineering — modeling, data quality, observability and governance. You'll also need enough Data Engineering skill to maintain and troubleshoot ingestion pipelines when they break, and a Data Analyst / BI mindset is a valuable bonus to help teams turn data into KPIs and dashboards. You'll collaborate with virtually every team at Filigran (Sales, Finance, Product, Engineering, Support, People) in a fully remote, high-trust, async-first environment. This is a highly cross-functional role, and you'll help the whole company become more data-driven. 💼 Your Responsibilities 🧩 Analytics Engineering — the core of the role Model and transform data with dbt, following a clean staging → intermediate → marts architecture. Own data quality, reliability and observability: testing, monitoring, alerting on data issues, code reviews. Maintain the data catalog and governance so data stays discoverable, understood, trusted and well-documented. Build and maintain dashboards in Metabase that give teams clear, trustworthy visibility into their KPIs. ⚙️ Data Engineering — a necessary skill Maintain and scale our ingestion pipelines (Airbyte / Airflow) that bring data from external APIs and sources into our warehouse. Investigate and fix pipelines when they break, ensuring the platform keeps running reliably end-to-end. 📊 Data Analyst / BI — a valuable bonus Partner with teams across the company (Sales, Finance, Product, Engineering, Support, People) to define metrics, model their KPIs, and support their decision-making. Help teams build self-serve analytics and dashboards on top of the platform. 🔭 Across the board Conduct technical watch and continuously improve the platform's architecture and tooling. 🤝 Who You'll Work With Collaborate with stakeholders across every team (Sales, Finance, Product, Engineering, Support, People) to turn their needs into data products. Work closely with the Engineering team on deployment, monitoring, and platform reliability. 🧬 Profile We're Looking For 5+ years of experience in Analytics Engineering / Data Engineering, with strong hands-on expertise in dbt: modeling, testing, data qual