Senior Analytics Engineer
@ Qonto

Berlin, Berlin, Germany
€90,000
On Site
Full Time
Posted 4 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @qonto.com
Recommended after applying

Job Details

About Qonto

Our mission is creating freedom for SMEs to succeed by delivering Europe’s leading finance workspace. Qonto, founded in 2017 by Alexandre and Steve, serves over 600,000 customers with a team of 1,600+ professionals and is recognized among LinkedIn Top Companies in France.

Our Values & Beliefs

We prioritize customer focus, ownership, teamwork, mastery, and integrity. We foster a discrimination-free hiring process, celebrating diversity including international team members, women, and parents.

Role Overview

Join as a Senior Analytics Engineer to deliver high-quality data models that power strategic business decisions for our rapidly growing SME customer base. You will work with a team of eight Analytics Engineers building trustworthy datasets and supporting Qonto's transition to become the preferred financial platform for SMEs.

Responsibilities

  • Deliver high-quality, trustworthy, and discoverable data models for Business Analytics.
  • Provide consulting and best practices guidance to data analysts.
  • Scale data modeling capabilities and reduce technical debt.
  • Collaborate daily with data analysts and participate in weekly team meetings.
  • Manage end-to-end projects from discovery to impact measurement.

What You Can Expect

  • Work primarily with DBT and focus on dimensional modeling.
  • Collaborate in a multi-location team with daily stand-ups.
  • Enjoy growth opportunities including technical advancement and role evolution.
  • Engage in strategic projects supporting acquisition, attribution, and marketing analytics.
  • Embrace continuous learning, including the use of AI tools.

Your Future Manager

You will report to Alice Fresko, Lead Analytics Engineer, who emphasizes collaboration, continuous learning, and high data quality standards.

About You

  • Minimum 4 years of experience as an Analytics Engineer.
  • Expertise in data modeling, especially dimensional modeling.
  • Strong technical skills with DBT and scalable coding practices.
  • Excellent communication and autonomous project management skills.

Perks

Tailor-made career tracks, an inclusive work environment, competitive salary package, meal vouchers, transportation reimbursement, health insurance, employee well-being initiatives, progressive disability and parenthood policies, and monthly team events across offices in Paris, Berlin, Milan, Barcelona, and Belgrade.

Our Hiring Process

Interview rounds with Talent Acquisition Manager and future managers, followed by a remote or live exercise. The process typically lasts 20 working days with offers usually following within 48 hours.

Key skills/competency

  • Data Modeling
  • DBT
  • Dimensional Modeling
  • Analytics
  • Technical Debt
  • Consulting
  • Collaboration
  • Project Management
  • Scalability
  • Strategic Impact

How to Get Hired at Qonto

🎯 Tips for Getting Hired

  • Research Qonto's culture: Understand their mission, values, and recent achievements.
  • Customize your resume: Highlight analytics engineering and DBT expertise.
  • Emphasize project management: Showcase end-to-end project delivery experience.
  • Prepare for technical questions: Review dimensional modeling and data architecture concepts.
  • Practice behavioral interviews: Reflect on teamwork and consulting scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review DBT and dimensional modeling concepts.
Practice SQL and scalable code challenges.
Study data architecture fundamentals and design patterns.
Prepare examples reducing technical debt in projects.

Behavioral Questions

Discuss teamwork experiences with cross-functional groups.
Describe handling challenging project deadlines.
Explain consulting experiences with business analysts.
Share examples of taking full project ownership.

Frequently Asked Questions