Staff / Senior Analytics Engineer - Data Modeling Specialist

Qonto is a leading financial technology company that is redefining the way businesses manage their finances. We are committed to innovation and excellence, and our team is at the heart of this mission. We are currently expanding our analytics team and are looking for talented Analytics Engineers with a strong focus on data modeling to join us.

We are seeking two new Analytics Engineers to join our team of currently 3 . This is a unique opportunity to enhance both the quantity and quality of our data modeling capabilities. Our focus is on understanding data from its conception rather than just its usage, and we are looking for professionals who can normalized (3NF, 6NF) data models, understand data domains, and design future-proof data representations.

👩‍💻🧑‍💻As a Staff Analytics Engineer at Qonto, you will :

• Design and deliver data models in 6th Normal Form, 3rd Normal Form, and star schema.

• Collaborate with stakeholders, including Product Managers, Data Producers, Data Scientists (DS), Data Analysts (DA), and other teams within Qonto, to understand business requirements and ensure data models meet these needs and are future-proof.

• Mentor and elevate the team’s data modeling capabilities.

• Contribute to data governance and ensure adherence to best practices in data architecture.

🤔 What you can expect

• Learn in depth about Data Modelling and Streaming technology.

• Be part of a dynamic and innovative team that is shaping the future of financial technology.

• Work in a collaborative environment with opportunities for professional growth and development.

• Lead cross-functional data projects that have a major impact on the business and its stakeholders.

You'll be reporting to Emmanuel Akpan, a transformational leader who creates an environment where team members are empowered to reach their full potential. Through his open-door policy and regular one-on-one meetings, Emmanuel provides personalized guidance while fostering a collaborative atmosphere where innovative ideas are always welcomed. His approachable nature combined with his commitment to career development makes him an inspiring manager who truly invests in his team's success.

🏅About You

• Experience: While years of practice is not a perfect way to gauge the experience, we believe that 8 to 10 years in data modeling, with expertise in data architecture, and normalized and denormalized data modeling, is a reasonable pre-requisite for this role.

• Skills: Complete mastery of SQL is required, deep understanding of data conception, normalization, and the ability to create future-proof data models. The ecosystem includes DBT, Airflow, Apache Flink and Snowflake and are “nice-to-have”

• Mentoring : You care about growing and mentoring people. The Staff Engineer role requires technical leadership, is inspirational for teammates, and radiates beyond the team.

• Mindset: Nothing is too challenging, you think mid/long-term and bring innovative solutions. Recognised figure in the industry and/or keen to become one is aligned with our ambitious data strategy.

• Flexibility: Open to remote work in any market.

🏃‍♂️ Next Steps: If you are passionate about data modeling and want to be part of a team that values innovation and excellence, we would love to hear from you. Please apply with your resume and a cover letter detailing your experience and why you are a great fit for this role.

A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.

- Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;

- Tailor-made remote work policy depending on the job you apply for and where you live;

- Competitive salary package;

- A meal voucher;

- Public transportation reimbursement (part or global);

- A great health insurance (depending on the country);

- Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;

- A progressive disability and parenthood policy (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;

- Monthly team events.

- Interviews with your Talent Acquisition Manager and future managers

- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like

We will send you an interview guide so you can best prepare yourself.

On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞

To learn more about us:

Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres