About your team and your mission
As our Lead Data Engineer, you will lead and grow a small department (2 people) of passionate and highly-skilled engineers who are pivotal to GitGuardian’s growth and success. Our team’s scope is uniquely broad, encompassing the entire data lifecycle—from ingestion and transformation to delivering critical business insights and enhancing our product with data-driven features. You will work with massive and growing data, including over 40 billion code files and more than 600,000 users, to solve compelling challenges. You’ll be at the crossroads of Business Intelligence and Product development, with a direct impact on our company’s trajectory.
Your main responsibilities will be to:
- Lead the architectural design and strategic development of our data platform, ensuring its scalability, reliability, and performance to meet the demands of a high-growth environment.
- Manage the team’s roadmap, projects, and priorities, ensuring alignment with company objectives and effective communication with multiple teams and interfaces.
- Act as a key partner to stakeholders across Sales, Marketing, and Product, translating complex business questions into technical requirements and data-driven solutions.
- Define and own the data modelling strategy in our Snowflake data warehouse, transforming raw data into clean, business-ready tables that serve as the single source of truth.
- Develop and optimise robust ELT pipelines, leveraging tools like Fivetran and Airbyte for standard sources and building custom connectors where needed, to ingest data from a wide variety of sources, including PostgreSQL, Elasticsearch, and third-party APIs (e.g., Hubspot, GitLab, Notion).
- Architect and implement sophisticated data models in our Snowflake data warehouse, transforming raw data into clean, business-ready tables that serve as the single source of truth.
- Power our customer-facing analytics, developing and exposing data within the GitGuardian product to provide our users with valuable insights.
- Develop innovative, data-powered applications and services, such as an application to identify the most dangerous secret leaks, or a service capable of scanning billions of files at scale, which directly enhance our product offering.
- Mentor, guide, and grow the data engineering team, fostering a culture of technical excellence, innovation, and continuous improvement.
Technical Environment
- Core Languages: Python, SQL
- Data Warehouse: Snowflake
- Orchestration & Deployment: Dagster, Kubernetes, Docker, Terraform
- Data Ingestion: Fivetran, Airbyte, custom scripts
- Data Visualisation: Metabase
- Data Sources: PostgreSQL, Elasticsearch, various APIs
About you
Here’s what we consider essential for success in this role:
- 5+ years of experience in data engineering, with a proven track record of building and managing complex data platforms in a cloud environment.
- Expert-level proficiency in Python and SQL; you are comfortable writing clean, efficient, and production-ready code.
- A comprehensive understanding of modern data architectures, including data warehousing, data modelling, and ETL/ELT best practices.
- Hands-on experience with our core technologies or their equivalents (e.g., Airflow instead of Dagster; Redshift or BigQuery instead of Snowflake).
- A proven ability to bridge the gap between business and technology, with a strong business sense and the skill to translate complex requirements into impactful technical solutions.
- Excellent communication and project management skills, with the ability to articulate technical concepts and manage priorities with both technical and non-technical audiences.
The following skills would strengthen your application, but aren’t required:
- Prior experience in a leadership, mentorship, or management role is a strong plus, but we welcome applications from senior engineers ready to take their first step into a leadership position.
- Previous experience in a high-growth B2B SaaS or cybersecurity company.
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Knowledge of Infrastructure as Code (e.g., Terraform).
Benefits
- 💰 Package that includes stock options
- 🍜 Lunch voucher (Swile)
- 🏥 Non-charged health insurance for children (Sidecare / Generali)
- 💻 Up to €300 to improve your home office set-up
- 🌴 Yearly holiday allowance
- 🤝 Referral bonus of 4000€ for any new Guardian we might hire thanks to you
- 🎡 Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing weekend, …)
And also…
- 🏡 Remote policy: hybrid (2 days/week at the office) or full-remote (but 3 days/month at the office)
- 📈 Opportunities for career development in the long term
