Data Quality Engineer

Our mission and customers:
We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be
rated 4.8 on Trustpilot
,

based on 55,000+ reviews.
Our culture

puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75
(more about our culture
here
).
Our journey:
Founded in 2017 by
Alexandre
and
Steve
,
Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started.

Our beliefs:
We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are.
We've built a discrimination-free hiring process
because the best teams are built on merit.

AI at Qonto:
AI is deeply embedded in how we work (
here
)
-
Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

Join us as a
Staff
Compliance Data Analyst
to build the analytics foundations that power Qonto's compliance execution. You'll own a brand-new scope — monitoring KYC/KYB funnels, remediation campaigns, and financial exposure — working cross-functionally with Product, Ops, Risk & Compliance, and Internal Control, under the guidance of Alma, our Lead Data Analyst.

👩‍💻🧑‍💻 As a Data Analyst at Qonto, you will

• Build compliance process monitoring from scratch: You'll build and own the data infrastructure that powers compliance monitoring at Qonto — from onboarding funnel analytics to remediation financial exposure — giving product, operations and compliance teams the self-service tools they need to make decisions without waiting on a data request.
• Model and transform data with dbt: With the collaboration of Analytics Engineer Team, you'll build end-to-end transformation pipelines from source to consumption layer, keeping metric definitions clean and trusted by non-technical stakeholders.
• Turn regulatory questions into self-service assets: You'll partner with Product, Ops, Risk & Compliance, and Internal Control to scope and ship analytical tools
• Own the KYC/KYB funnel analytics end-to-end: You'll deliver insights from CS initiation through KYB validation — refusal reasons, document gaps, lead-time distributions — so teams can act on friction fast.
• Track remediation campaigns and financial exposure: You'll measure MRR secured, at risk, or lost across active campaigns, with peak intensity in Q4 (budget season) and May-June (reforecast).

🤔 What You Can Expect

• A greenfield, strategically critical scope: Qonto is under close regulatory scrutiny — you'll build analytics foundations that matter company-wide, not just for your team.
• Senior, cross-functional exposure from day one: Product, Ops, Risk & Compliance, Internal Control — few DA roles give you this breadth of senior stakeholder access at this level.
• Real ownership in the Modern Data Stack: You'll build in Omni and dbt with a high degree of autonomy — no legacy to untangle, just foundations to create.
• A team where AI is a first-class tool: Unlimited access to AI tools (Claude, Cursor, and more) to evolve how you work, not just output more.

➡️ Your future manager
Your manager will be Alma, our Lead Data Analyst for Ops & Finance. Alma knows exactly what it takes to build an analytics function that actually changes decisions, and she'll push you to do the same.

Alma reports to Erwan, Director of Business Analytics who oversees the entire Analytics function and ensures alignment across teams.

🏅 About You

• Compliance or regulated environment experience: You've worked analytically on KYC/KYB, AML, remediation, or similar regulatory/operational processes — and you know how to get credible with those stakeholders fast.
• Self-service product mindset: You've designed dashboards and models for end-users to explore autonomously, adapting the same dataset from ops-level (daily SLA tracking) to exec-level (budget readouts).
• Cross-functional stakeholder management: You've juggled competing analytical priorities across multiple teams — and you know how to scope clearly, push back when needed, and drive adoption.
• Strong SQL and data modelling skills: You've built end-to-end transformation pipelines, enforced data quality, and made non-technical stakeholders trust your numbers.
• AI-native workflow: You actively use AI tools to accelerate your analytics work — from data modelling to stakeholder communication — and you're genuinely curious about going further.
• Language: Fluent in English.

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.
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.
By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.
On average,
our hiring process lasts
20 working days
.
More information on our candidate journey
here
🔒 Your security matters to us
Recruitment scams are on the rise. Keep in mind, we will never work with third-party platforms or agencies that request payment from candidates.

If you receive a suspicious message claiming to be from Qonto, please report it right away (support@qonto.com)

Who We Are
We drive innovation – from advisory and implementation to managed services and beyond, powered by a global team of over 18,500 experts representing over 90 nations in more than 30 countries. With SAP at our core and a powerful ecosystem of partners like Microsoft and ServiceNow, we continuously improve solutions and AI-driven technology to make them work for companies – and for their people.

As part of NTT DATA, a $30+ billion business and technology services, AI and digital infrastructure leader. As a Global Top Employer, NTT DATA serves 75% of the Fortune Global 100 and, with experts in over 70 countries, co-innovates solutions that encourage experimentation and recognize great work. With us, you have endless opportunities to think big, act bold and take ownership. Make this the place where you belong, learn, and build your network.

We are looking for a Data Migration Lead to join our team.

What You'll Be Doing

• Define and own the end-to-end data migration strategy in collaboration with solution architects.
• Plan, coordinate, and execute all data migration activities throughout the project lifecycle.
• Lead technical and functional teams in the extraction, transformation, and loading (ETL) process.
• Establish data quality objectives and validation criteria in alignment with business requirements.
• Oversee delivery using LSMW, BAPIs, IDocs, SAP Data Services, and SAP Migration Cockpit tools.
• Ensure data traceability and integrity through all test phases (Mock Loads, Dry Run, Cut-over).
• Identify risks proactively and propose mitigation plans to avoid migration-related issues.
• Collaborate with internal stakeholders (IT, business, management) and external partners.
• Actively participate in project governance, status reporting, and data quality workshops.

What You'll Bring Along

• Bachelor's degree in Computer Science, Business Informatics, Mathematics, or a comparable qualification.
• Minimum 5-10 years of SAP experience, including at least 3 years as a Data Migration Lead.
• Hands-on experience in at least two full-cycle SAP migration projects (preferably to S/4HANA).
• Strong knowledge of SAP data structures across modules (MM, SD, FI, CO, PP, HR, etc.).
• Proficiency in migration tools: SAP BODS, SAP Migration Cockpit, LSMW, etc.
• Good knowledge of SQL, ETL processes, and data modeling.
• SAP certifications (e.g., SAP Certified Application Associate).
• Experience with cloud-based migrations (e.g., S/4HANA on GCP, AWS, Azure).
• Familiarity with SAP MDG or other data quality tools.
• Collaborative, international, and result-oriented work environment.
• Opportunity to shape and influence a modern data architecture.
• Understanding of business process interdependencies and data governance.
• Excellent communication, leadership, and cross-functional coordination skills.
• Excellent command of both spoken and written English and German would be nice to have.

Description & Requirements
Who we are looking for
🚀As a
Data Governance Technology (Senior) Consultant
, you will be embedded in our technology strategy team, advising clients across various industries such as financial services, energy, insurance, and manufacturing on how to design, implement, and operate modern data governance programmes.

This role spans the full spectrum, from early-stage strategy and tool selection, through hands-on platform configuration and data quality design, to stakeholder engagement with C-level executives and data stewards alike. You will work with best-in-class tooling and operate as a trusted advisor across the EMEA region.

🔎If you are / have:

• Minimum
  3 years of experienc
  e working with data in a business or technical role
• Strategic and analytical mindset, able to structure ambiguous problems and drive to meaningful conclusions
• Ability to gather and translate business and technical requirements across different industries
• Practical knowledge of Informatica (on-premise and/or cloud) configuration, metadata management, or data quality rule authoring and data integration
• Practical knowledge of integrating third-party APIs using RESTful services, working with JSON/XML, authentication methods (OAuth, API keys, JWT), and API testing tools
• Previous experience of data related projects (data warehouse, data lake, business intelligence, data quality or data governance)
• High-quality client-facing documents: requirements, design specs, technical reports, and executive presentations
• English at advanced level, both written and spoken
• Practical SQL knowledge, comfortable reading and writing queries against relational and analytical databases
• Familiarity with Python, Java or Groovy scripting is a supporting skill, not the daily focus
• Proficiency in MS Excel and MS PowerPoint
• Positive, can-do mindset with the resilience to thrive in a fast-paced, global environment
• Interest in areas such as:

- Data governance

• Data architecture
• Data engineering
• Agentic AI
• AI & Data strategy
• Data Modernization & Analytics
• GenAI & Intelligent Automation

🟢Moreover, the following will be an advantage:

• Hands-on experience with Data Quality or Data Governance projects
• Practical knowledge of Colibra or Attacama - configuration, metadata management, or data quality rule authoring
• Understanding of data cataloguing, business glossary design, lineage, or MDM concepts
• Experience in Agile delivery environments (Scrum, Kanban)
• Familiarity with data visualization tools such as Power BI or Tableau
• Exposure to cloud data platforms — Snowflake, Databricks, or similar
• Knowledge of regulatory frameworks relevant to data (GDPR, BCBS 239, or sector-specific)

Your future role

• As a Data Governance Technology (Senior) Consultant, you will be part of the technology strategy team within the firm responsible. You will have an opportunity to lead clients through Data Governance strategy and implementations as well as other data related projects from both organizational and technical site,
• You will have the opportunity to work and acquire skills with the best Data Governance solutions available on the market (Informatica, Collibra, Attacama),
• Although we require some programing skills, writing a code won't be your everyday task,
• You will have an opportunity to develop and implement data governance processes and solutions for clients from various business sectors (e.g., financial services, automotive, insurance),
• You will act as a trusted advisor to senior technology and business stakeholders.
• You will have an opportunity to lead clients through architecture and business transformations and help our clients achieve technological fit for their businesses.
• You will take part in digital transformations taking place all over EMEA.

Discover more about our services by visiting our website

What we offer

• Interesting path of career in an international organization.
• Team of professionals that will help you develop & succeed.
• Exposure to trailblazing business and technology projects.
• A place in the first line of a digital transformation.
• Work for well-known brands.
• Constant support and clear development path from your first day at office - dedicated Buddy, who will help you in adjusting to the new workplace.
• Permanent employment.
• Everyday opportunities to influence how and where we do our business.
• Employees’ benefits: International Travel Insurance, Employee Assistance Program, Comprehensive Health Insurance.

Selection process
Online Test 💻

The first stage of the recruitment process is an online test designed to assess your skills and knowledge relevant to the role.

HR Screening Call 📞

The second stage is a 15-minute HR screening call in English. During the conversation, we will discuss your experience, motivation, and expectations.

Final Interview with the Team 👥

The final stage is a 60-minute online interview via MS Teams in English.

📝 Send us your CV along with a short note about your interest in AI & Data

Our recruitment team will get in touch to discuss your interests and match you with the most suitable career path 🚀

Who We Are
We drive innovation – from advisory and implementation to managed services and beyond, powered by a global team of over 18,500 experts representing over 90 nations in more than 30 countries. With SAP at our core and a powerful ecosystem of partners like Microsoft and ServiceNow, we continuously improve solutions and AI-driven technology to make them work for companies – and for their people.

As part of NTT DATA, a $30+ billion business and technology services, AI and digital infrastructure leader. As a Global Top Employer, NTT DATA serves 75% of the Fortune Global 100 and, with experts in over 70 countries, co-innovates solutions that encourage experimentation and recognize great work. With us, you have endless opportunities to think big, act bold and take ownership. Make this the place where you belong, learn, and build your network.

We are looking for a Mid‑Senior SAP BW/BW on HANA Consultant to join our SAP Data & Analytics team. In this role, you will contribute primarily through hands‑on development, enhancement, and support of SAP BW solutions in international project and run contexts.

What You’ll Be Doing

• Develop, enhance, and maintain SAP BW / BW on HANA data warehouse solutions
• Build and support ADSOs, CompositeProviders, InfoObjects, and Open ODS Views
• Implement and maintain data extraction, transformation, and loading processes
• Work with S/4HANA source systems, including CDS‑based and ODP extractors
• Monitor and improve data load performance, process chains, and data quality
• Analyze and resolve incidents, defects, and performance issues in BW environments
• Support change requests and enhancements based on business requirements
• Collaborate with reporting and analytics teams consuming BW data (e.g. SAC, BO, third‑party BI tools)
• Apply established BW modeling, transport, and security best practices
• Contribute to technical documentation and knowledge sharing within the team
• Participate in testing activities and support business users during validation phases

What You’ll Bring Along

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
• At least 4 to 8 years of hands‑on experience in SAP BW or BW on HANA roles
• Strong experience with: ADSOs, CompositeProviders, and InfoObjects
• Process Chains and data load monitoring
• Delta handling and data reconciliation
• Practical experience extracting data from S/4HANA or ECC systems
• Familiarity with CDS‑based and ODP extraction frameworks
• Basic understanding of HANA push‑down concepts and BW performance optimization
• Experience with BW authorization concepts
• Ability to work independently from functional specifications or business requirements
• Experience supporting BW in project delivery and/or operational support environments
• Comfortable working with international and distributed teams
• Nice to have: exposure to BW/4HANA or SAP Datasphere
• Experience supporting SAC consumption on top of BW
• Participation in BW on HANA migrations, upgrades, or S/4HANA transitions
• Basic knowledge of cloud or hybrid data platforms (Azure, Snowflake, Databricks)
• Interest in SAP’s evolving data and analytics roadmap (e.g. Datasphere, Business Data Cloud)
• Strong communication skills and fluent English; German is a plus.