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Data Modeler

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Qonto

1mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Berlin
    Remote
  • Quick Apply

AI generated summary

  • You need strong data modeling expertise, expert SQL skills, experience with data tools (DBT, Airflow), a passion for mentoring, business acumen, and excellent communication with stakeholders.
  • You will design and implement normalized data models, define data entities and properties, develop data normalization methodology, and collaborate with stakeholders to ensure data quality and governance.

Requirements

  • Data Modeling Expertise: Strong experience in designing and implementing both normalized and denormalized data models, with a deep understanding of SQL and data architecture principles
  • Technical Proficiency: Expert-level SQL skills and experience with modern data tools (DBT, Airflow, or similar). Knowledge of data warehousing concepts and ETL/ELT processes
  • Knowledge Sharing: Passion for sharing technical expertise and best practices with team members. You enjoy mentoring others and contributing to the team's collective growth
  • Business Acumen: Ability to translate business requirements into robust data models while considering future scalability and maintenance
  • Communication: Strong ability to collaborate with both technical and non-technical stakeholders to gather requirements and explain complex concepts simply

Responsibilities

  • Lead the design and implementation of normalized data models for our banking operations domain (transactions, cards, banking ecosystem)
  • Create a single source of truth by precisely defining banking data entities and their properties, ensuring data stability and governance across the platform
  • Develop a structured methodology for data normalization that focuses on understanding banking data in its natural state, rather than its consumption patterns
  • Collaborate with multiple stakeholders (Backend, Product, Customer Support, Ops teams) to ensure banking data models meet both technical and business requirements

FAQs

What is the main mission of the Data Modeler at Qonto?

The main mission of the Data Modeler at Qonto is to revolutionize how the company handles its core banking data by architecting the foundation of the data platform and implementing advanced modeling approaches.

What data modeling methodologies will the Data Modeler be implementing?

The Data Modeler will be implementing advanced modeling approaches such as Vault 2.0, 3NF, and 6NF within the banking operations domain.

What is the focus of the Data Modeler in their role?

The focus of the Data Modeler is on normalizing and enriching a complex and ever-growing data ecosystem, specifically within the banking operations domain.

How does the Data Modeler contribute to Qonto's internal teams?

The Data Modeler's work will provide both technical and non-technical teams access to reliable, well-structured information, enabling them to leverage data insights effectively.

What type of projects will the Data Modeler be involved in?

The Data Modeler will lead cross-functional data projects that have a major impact on the business and its stakeholders.

What opportunity does the Data Modeler have for professional development?

The Data Modeler can expect to learn and advance their knowledge of Data Modeling and Streaming technology while working daily with domain experts in a collaborative environment.

What key skills are required for the Data Modeler position?

Key skills required include strong experience in designing normalized data models, expert-level SQL skills, knowledge of modern data tools (DBT, Airflow), and the ability to communicate complex concepts to both technical and non-technical stakeholders.

Who will the Data Modeler report to at Qonto?

The Data Modeler will report to Alice Fresko, the Lead Analytics Engineer.

What types of perks and benefits does Qonto offer?

Qonto offers competitive salary packages, meal vouchers, public transportation reimbursement, health insurance, employee well-being initiatives, a progressive disability and parenthood policy, and monthly team events.

What is the length of the hiring process at Qonto?

The average hiring process at Qonto lasts 20 working days, and offers typically follow within 48 hours.

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Qonto

The finance solution that energizes SMEs and freelancers.

Finance
Industry
1001-5000
Employees
2016
Founded Year

Mission & Purpose

Qonto is a financial technology company that offers an all-in-one business banking solution designed for small and medium-sized enterprises (SMEs), freelancers, and startups. It provides a comprehensive platform that simplifies banking, accounting, and financial management, enabling businesses to manage their finances with ease. Qonto's ultimate mission is to help businesses save time and focus on growth by offering a streamlined, user-friendly banking experience. Their purpose is to revolutionise business banking by making financial management efficient, transparent, and accessible for all companies, no matter their size.