Our mission? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance.
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:
Customer focus | Prioritize customers in everything you do
Ownership | Own your part, get things done
Teamwork | Make (team)work easy
Mastery | Continuously raise the bar
Integrity | Always do what’s right, and respect people
Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
⭐ Mission
Join us as a Lead Analytics Engineer for Business Analytics to build trustworthy, scalable data models that power Growth, Finance, and Product analytics for 500,000+ customers—and establish the standards and governance that will carry us to one million SMEs by 2025.
⚡ Impact
You will work closely with
Alice Fresko, our Senior Lead Analytics Engineer, and report directly to her. You'll lead a small, ambitious team of Analytics Engineers embedded with Business Analytics, shaping how we deliver high-quality data models and preventing "quick and dirty" solutions. Your work will directly enable Qonto to make fast, confident decisions as we scale across Europe.
👩💻🧑💻 As a Lead Analytics Engineer at Qonto, you will
- Establish and operate a clear, effective way of working between Business Analytics and Analytics Engineering defining ownership models, SLAs, review cycles, coding standards, and documentation practices that stick.
- Elevate team performance and model reliability by delivering the right models with the right quality, documentation, and observability—and defining KPIs to track modeling quality and delivery.
- Manage day-to-day: Lead rituals, prioritize work, coach team members through 1:1s, and foster a culture of quality and continuous improvement.
- Partner with Business Analytics: Align on roadmap and priorities; ensure Analytics Engineering work serves business needs and outcomes.
- Time allocation: ~30% hands-on data modeling; remainder on leadership, reviews, and stakeholder alignment.
🤔 What you can expect
- The team: You'll join a manage a team of 3 people across Business Analytics, contributing primarily to the BA side.
- How we work: We value structured reasoning, continuous improvement, and treating internal stakeholders like customers. We're curious about emerging tools like semantic layers, and we actively experiment with AI to accelerate our work, always with quality safeguards in place.
- AI at Qonto — Embrace it:
1 - Experiment daily, and learn from it.
2 - Adopt AI in your day-to-day to unlock productivity and new knowledge.
3 - Make your job evolve as you use AI to do work differently (linting, documentation, test generation, code scaffolding).
- Our tools: dbt, modern cloud data warehouses, orchestration platforms, and a growing stack of observability and governance tools. You'll have autonomy to shape how the team operates and what we adopt next.
- Growth paths: Deepen technically or broaden into business-facing leadership within Analytics Engineering. This is a key turning point role for the org with high visibility and cross-functional exposure.
🤝 About your future manager
Your manager will be Alice Fresko, our Senior Lead Analytics Engineer.
- Her path? Alice joined Qonto in 2021 and has grown from Data Analyst to Lead Analytics Engineer, playing a key role in shaping our data modeling practices and analytics engineering culture.
- What she can bring to the team? Alice brings both technical expertise and vision for data modeling. She is passionate about creating robust data foundations and promotes a culture of knowledge sharing. Her leadership style emphasizes collaboration and continuous learning, while maintaining high standards for data quality.
You can hear her talking about Data (in French) in
this podcast.
🏅 About You
Experience: You have senior-level expertise in analytics engineering and data modeling—you've built complex, production-grade data pipelines and know what "good" looks like. You have at least 1 year of people management experience.
Standards-driven: You care deeply about testing, documentation, versioning, lineage, and governance. You review others' work with a sharp eye and set the standard others follow.
Technical proficiency: You're hands-on with modern data stacks beyond plain SQL (dbt strongly preferred). You can deliver data models yourself (~20–30% of your time) while leading the team.
Collaboration: You have a track record of partnering with analysts and translating business needs into robust, scalable data models. You communicate complex trade-offs clearly to technical and non-technical audiences.
Curiosity: You're familiar with or curious about semantic layers (e.g., dbt Semantic Layer, Cube, MetricFlow) and have an opinionated view. You're aware of and curious about AI in analytics engineering workflows.
At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.