Senior Data Engineer

About GitGuardian GitGuardian is a global post-Series C cybersecurity scale-up, with team members in France, Europe and in the USA. Among our early investors who saw our market value proposition, are the co-founder of GitHub, Scott Chacon, along with Solomon Hykes , Docker's co-founder. American and European top-tier VC firms have also invested in GitGuardian. GitGuardian leads the way in Non-Human Identity security , offering end-to-end solutions from secrets detection in code, productivity tools and environments to strong remediation, observability and proactive prevention of leaks. Our solutions are already used by more than 600K developers worldwide! About your team and your mission As a Senior Data Engineer, you will join a team of 3 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'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: Design, build, and maintain our data platform, ensuring its scalability, reliability, and performance to meet the demands of a high-growth environment. Develop and optimize 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. Collaborate on impactful business projects, working closely with stakeholders across Sales, Marketing, and Product to understand their needs and deliver data solutions that drive strategic decisions. Power our customer-facing analytics, developing and exposing data within the GitGuardian product to provide our users with valuable insights. Champion data quality and governance across the organization, establishing best practices and ensuring the integrity of our data assets. Mentor and guide other engineers, sharing your expertise and contributing to the continuous improvement of our team's skills and processes. Technical Environment Core Languages: Python, SQL Data Warehouse: Snowflake Orchestration & Deployment: Dagster, Kubernetes, Docker, Terraform Data Ingestion: Fivetran, Airbyte, custom scripts Data Visualization: Metabase Data Sources: PostgreSQL, Elasticsearch, various APIs About you If you think you match at least 70% of these criteria, please apply! Here's what we consider essential for success in this role: 5+ years 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 modeling, 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 strong business sense and the ability to translate complex business requirements into technical solutions that have a tangible impact. A proactive and ownership-driven mindset, with a passion for solving challenging problems and driving projects from conception to completion. Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. The following skills would strengthen your application but aren't required: Previous experience in a high-growth B2B SaaS or cybersecurity company. Experience with containerization and orch