Senior Data Engineer

Summary

Join Finary's team as a Senior Data Engineer and build the company's data infrastructure from the ground up. You will design and implement robust data pipelines, create a centralized data warehouse, and establish self-service analytics capabilities. This highly autonomous role requires proven experience in building scalable data pipelines and infrastructure, proficiency in SQL and Python, and expertise with modern data stack tools and Google Cloud Platform. You will work closely with various teams to ensure Finary has the right data infrastructure to scale effectively and deliver impactful insights. The role offers a competitive compensation package and the opportunity to work in a motivating, fast-paced environment with brilliant people. Finary is a hybrid remote company with an office in Paris, organizing on-site meetings every 6 weeks.

Requirements

• Have proven experience building scalable, reliable data pipelines and infrastructure from scratch
• Excel at designing efficient data models and warehouse architectures that balance performance and flexibility
• Are proficient in SQL and Python with the ability to write complex queries and transformation logic
• Have strong experience with modern data stack tools (Airflow, dbt, BigQuery or similar)
• Possess expertise with Google Cloud Platform for data infrastructure
• Can break down ambiguous problems into concrete, actionable steps
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders
• Thrive when given autonomy and ownership over your domain
• Have experience implementing data governance practices around sensitive information
• Are comfortable in a fast-paced startup environment where priorities may shift
• Enjoy cross-functional collaboration and proactively seek to understand business requirements

Responsibilities

• Build Finary's data infrastructure from the ground up
• Design and implement robust data pipelines
• Create a centralized data warehouse
• Establish self-service analytics capabilities across the organization
• Own the entire data stack end-to-end – from data ingestion and transformation to modeling, quality, and governance
• Work closely with product, engineering, and business teams to ensure that Finary has the right data infrastructure to scale effectively and deliver impactful insights
• Set the foundation for Finary's data strategy and execution, implementing best practices that will support our growth for years to come

Preferred Qualifications

• Have implemented real-time or near real-time data streaming solutions
• Are familiar with CI/CD practices for data pipeline development
• Have experience with data infrastructure as code using Terraform
• Have worked with AI/ML data pipelines or feature stores
• Can mentor and guide stakeholders on data best practices and usage
• Have experience with data observability and data quality monitoring tools
• Have implemented data solutions in a regulated environment
• Are a team player, are humble, and like to help others grow
• Are genuinely friendly and ambitious
• Like to take initiative and find new creative solutions to problems
• Are an excellent communicator and know how to coordinate teams, collect feedback and identify bottlenecks
• Are fluent in English (written and spoken)
• Break down big projects into small deliverables, well-presented to engineers, and move fast based on user feedback. You prefer small solutions and know when to improve something

Benefits

• Working with brilliant people in a motivating and fast-paced environment
• Having the opportunity to have a real impact in a sector that touches everyone's life: personal finance
• Being empowered and trusted to bring and become the best version of yourself
• Gathering at the office or in nice places every 6 weeks
• A competitive compensation package