Lead Analytics Engineer

Milan

Applications have closed

Qonto

A business account - and much more. ✓ Invoicing ✓ Bookkeeping ✓ Expense management ✓ Financing | 7/7 customer support

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Our mission? Creating the finance solution that energizes SMEs and freelancers, so they can achieve more. We simplify everything from everyday banking to bookkeeping and spend management. At Qonto, we’re passionate about creating the best product - with both impact and a great user experience. So if you’re looking for an ambitious team that’s revolutionizing a rather old-fashioned industry, get in touch. You can find out more about the Qonto Way here.
Alexandre and Steve launched Qonto in July 2017. Since then, the team has made great strides:- Becoming market leader for online SME banking in Europe with 250,000 SME clients- Getting recognized as one of the Top 10 startups to work for (LinkedIn | Glassdoor)- Opening offices in Paris, Berlin, Milan, and Barcelona- 700+ happy Qontoers building a finance solution businesses love to use.
Our values:Ambition | We tackle big challenges. No matter whatTeamwork | We create momentum by working together, at the same speedMastery | We pursue excellence through continuous learning. We face challenges with humility. Every dayIntegrity | We're open. We're honest. And we earn the trust of our clients and each other

To follow Qonto's ambition, we created the Data Department, handling Data Analysis, Engineering, and Science. The data department has since grown from 5 to 40+ people within two years (and we're still hiring)! 
As a Lead Analytics Engineer, you will collaborate closely with the Data Pipelines team to build our next-generation Data Platform. You will lead and grow the Analytics Engineering team who stages the relevant transformations from the Data lake to the Data warehouse to ensure efficient data models.
What’s our Data platform? It covers a key function: providing high-quality and available data to all Qontoers using Modern Data Stack (Snowflake, dbt, Airflow, Tableau). And in particular, it provides data to all data teams: BI, Data Science,  and Data Products. 

👩‍💻🧑‍💻As a Lead Analytics Engineer at Qonto, you will
Build your Team : 
•Recruit, build and manage a team of 2 to 4 Analytics Engineer,• Orient and support your team through regular feedback, 1:1 sessions, pairing sessions, mentoring, and quarterly progress reviews,• Drive the delivery of your team to reach their objectives,• Foster collaboration with Data Pipeline and BI team.

Build our Data Platform:
• Build and maintain the data modeling layers: you will make sure meaningful data is accessible and ready for analysis,• Work closely with Data Pipeline: together, you'll schedule, enhance and monitor the daily data transformation pipelines,• Work closely with Data Analysts: together, you'll develop and design analytical projects,• Ensure high quality by establishing and using the best engineering practices,• Design, build, test, document, run, review and maintain production code in Python,• Train other team members: As we're keen on enabling our colleagues with self-service data features, you will need to train your colleagues on the tooling that you set up for them.


👩‍💻🧑‍💻What you will achieve in this role in your first year:
•Restructure the Data model: make it minimal and efficient •Everyone at Qonto will be able to find the data they are looking for without even having to ask •Thanks to your work, Data Analysts will be able to develop dashboards twice as better in half the time •Foster a strong bond and team spirit into your team 


🤔 What you can expect
• Join the team that is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025.• Work in a fast-paced environment with a strong focus on quality• Build and improve features used by 220K+ clients across Europe• Participate in the decision-making process, based on qualitative/quantitative data.• Keep learning and improving: 4 weeks dedicated to specific training, budget for 1 conference every year and for books, online training..., and practices showcasing continuous improvement• Share knowledge among the whole tech and product team (Internal and external talk, Weekly meetings, Tech Monthly) and the community (articles, Meetups)
🤝 Your future Manager
Jérémie, VP of Data will be the one to help you succeed
- His background? Before joining Qonto, Jeremie was an associate professor at Telecom Paris and Telecom SudParis. He led data teams for some of France's most reputed digital companies and still advises several deep tech startups. He teaches at Ecole Polytechnique and co-authored over 50 scientific papers.
- What does he bring to the team? Jeremie defines a clear vision and path to success for our data platform, BI, data science analytics, and data products teams. He ensures they operate efficiently and have a smooth collaboration with other departments at Qonto. He also helps them continuously learn new skills while improving their existing ones and is still very involved in the hiring of his teams.

🏅About You
• Mastery: You have strong experience in SQL and python. You excel in data modeling best practices• Leadership: Through your past experience, you demonstrated your ability to help people grow and work together on successful projects• Problem Solver: You know how to overcome challenges with solutions that scale, without over-engineering. You prefer simple solutions and are obsessed with quality• Team Player: You are able to work collaboratively across departments: giving credible ETAs and meeting them, helping others,...• Communication skills: You have effective communication skills, to build alignment, articulate purpose, and know-how to interact with non-technical colleagues• Languages: You speak English, French is a plus

If you read this far and feel like this could be a great opportunity for you, don't let the imposter syndrome prevent you from applying and hit the button "Apply", we'd really love to hear from you!
🎁 PerksA laptop. An inclusive work environment. A tailor-made career track. And so much more to help you succeed…
Office & Team Life- A central fully-renovated building in Milan Duomo with WeWork services- The latest equipment from Apple- Monthly team events- Free coffee and snacks in the kitchen
Qonto’s benefits- A competitive salary package- Tailor-made Remote Policy- 22 days off + paid hours off (mini 4 days)- Fondo Est health insurance, Moka Care to take care of your mental health and gym access with Urban Sports Club- An Edenred meal card- 50% public transportation reimbursement- An inclusive environment with a focus on parity: 40% of our teams are women- Relocation package and visa sponsorship for international talents (we have 50+ nationalities) including access to Busuu to improve your language skills- Career tracks and mobility opportunities that can match all expectations
💪 Our hiring process:
- A 60 min video call with one of our Talent Acquisition Managers, to better understand your career plan and answer any questions you may have- A 60 min video call with your future manager, to be aligned on expectations on both sides and to talk about how you would work together- A remote exercise to evaluate your skills and give you a taste of what working Qonto could be like- Video calls or onsite interviews with future team members (optional) to help you understand what working at Qonto is like- A final video call or onsite interview with the manager of your future Department
Check this article to learn more about the hiring process and 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 🤞

Thank you for considering joining Qonto. We cannot wait to learn more about you! If you want to learn more about us: Economia | Qonto's Blog | FintechDistrict | TechCrunch

Tags: Airflow Banking Data analysis Data pipelines Data warehouse Engineering Excel Finance Pipelines Python Snowflake SQL Tableau

Perks/benefits: Career development Competitive pay Flex vacation Gear Health care Relocation support Team events

Region: Europe
Country: Italy
Job stats:  13  0  0

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