Senior Analytics / Data Engineer - Enterprise Data Platform

À propos du poste

🌀 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 quality, observability and governance in production.

- Experience with ingestion and orchestration pipelines (Airflow, Airbyte or equivalents) — enough to maintain, debug and fix them when they break, even if it's not your primary focus day-to-day.

- Proficient in SQL and Python for data transformation, ingestion and scripting.

- Cross-functional mindset: you enjoy talking to stakeholders, understanding their problems, and translating them into KPIs and dashboards.

- Strong autonomy and end-to-end ownership: you can take a scoped project across the whole stack (ingestion → transformation → consumption) and drive it independently in an async-first environment.

- Solid grasp of software engineering best practices: versioning, code reviews, testing, CI/CD.

- Product-oriented mindset: you care about data quality, usability, and real business outcomes.

Bonus if you have:

- Experience building AI agents to make data and platforms more accessible (e.g. natural-language querying, agentic assistants over the data platform).

- Familiarity with LLM/agent stacks (tool calling, MCP integrations).

- Experience working fully remote in an async-first culture.

- Experience in the cybersecurity industry.

🛡️ ABOUT THE DATA PLATFORM

Filigran's data platform powers decision-making across the entire company. It ingests data from dozens of sources (Airbyte / Airflow), transforms it into trusted models with dbt, and serves it through Metabase dashboards and a maintained data catalog.

We have ambitious plans to take the platform to the next level, and you'll help shape them:

- AI agents to make data more accessible — natural-language querying and agentic assistants so anyone at Filigran can get answers without writing SQL.

- A self-reporting agent that automatically generates and distributes insights and narratives from the data.

- A proactive alerting system that watches key metrics and notifies teams when values cross meaningful thresholds.

- A semantic layer (e.g. Cube) to define metrics once and expose them consistently across every tool and consumer.

🌱 WHY JOIN FILIGRAN? MORE THAN JUST A JOB.

We’re a fast-growing, global, and fully remote company building open-source cybersecurity solutions, increasingly powered by AI, to help defense teams anticipate threats and act faster.

⭐ What we believe

We believe we do work that matters, uniting defenders into a global community to make security more open, resilient & collaborative.

💻 How we work

We do work that matters by combining strong engineering standards with emerging technologies, including AI, to move faster and smarter.

🧭 What guides us

We make our work matter by building a culture grounded in our CORE values of Cohesion, Openness, Responsibility, and Equity. The principles that guide how we make decisions, treat people, and grow together, especially when no one’s watching.

💰 COMPENSATION &…