
Qonto · Paris
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 ...
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 Compliance Expert 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.
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. ------------------------------------------------------------------------------------------------------ ➡️ Mission: Join us as Analytics Engineer – Data Governance and become the architect of Qonto's data trust layer as we make our transition to a fully licensed bank. You will own end-to-end the Data Governance framework — defining rules, implementing controls, monitoring quality, and driving remediation across the company — so that every compliance report is reliable and every business decision is grounded in trusted data. You will work closely with Alice Fresko, our Head of Analytics Engineer, and with Paul, our Staff Analytics Engineer, and sit at the intersection of Data, Product, Engineering, and Compliance. This is a first-of-its-kind role at Qonto: you won't inherit a mature process, you'll build it. ➡️ As an Analytics Engineer at Qonto, you will: Build and operate the Data Governance framework — establish data quality rules, standards, and controls across the company's critical datasets, with a clear focus on banking compliance requirements (audits, regulatory reporting) Implement and maintain data quality checks — design and ship dbt tests and source-level controls (e.g. postcode validity, age ranges, referential integrity) that catch issues before they reach compliance reports Own the monitoring & remediation loop — produce regular data quality reporting for data owners and stewards, run cadenced follow-up rituals with stakeholders, and ensure action plans are executed — without being annoying about it Drive adoption of Data Governance tooling — own Data governance tools as the source of truth for the data catalogue and quality controls; clarify ownership, build the operating model, and keep it alive Scale the program through AI and automation — actively reduce manual work by building/configuring automated checks, monitoring pipelines, follow-up workflows, and reporting logic; this role is highly automatable and we expect you to leverage that ➡️ What you can expect: You're building from scratch — the framework is in its early stages. You won't be inheriting a playbook; you'll be writing it. That means high autonomy, high ownership, and a real "first-of-its-kind" trajectory Compliance is the bar — The outputs of your work will ensure Qonto is ready to transition from Payment institution to Credit Institution. The outputs of your work feed into regulatory reporting and audit reviews. Precision, rigor, and traceability aren't optional Broad stakeholder exposure — you’ll work daily with senior PMs, Backend, domain data owners at senior leadership level and Risk & Compliance teams.. Strong influence and communication skills matter as much as your technical chops AI is the multiplier — we use AI daily at Qonto (read our vision). We expect you to use it too — not just as a coding assistant, but to automate the repeatable parts of data governance: monitoring, alerts, follow-up chasing, test generation Growth potential — depending on company scale and automation maturity, this role can evolve to Staff-level scope and potentially lead a small team (+1 junior in ~2–3 years) ➡️ About your future manager: Your manager will be Alice Fresko, our Head of Analytics Engineer. Alice joined Qonto in 2021 and has grown from Data Analyst to Lead Analytics Engineer, playing a key role in shaping our data modeling practices and analytics engineering culture. She brings both technical depth and a strong vision for data foundations, and promotes a culture of knowledge sharing and high standards for data quality. Her leadership style is collaborative and direct. You can hear her talk about Analytics Engineering (in French) in this podcast. ➡️ About You Analytics Engineering expertise — you are strong in dbt and SQL (our core stack). You've shipped production-grade data models and tests, and you're comfortable owning pipelines end-to-end. Python for automation is a plus, not a requirement Stakeholder management — you know how to run rituals, follow up persistently without burning bridges, communicate across technical and non-technical audiences, and drive cross-functional programs with no direct authority Process and compliance mindset — you care about precision, documentation, and "what can go wrong" thinking. You're comfortable in environments where the output has regulatory consequences AI-native work style — you use AI tools in your daily work beyond just chatting: code generation, automation, agents. Ideally, you've built or configured a workflow or agent in the past few months Appetite for building — you're excited by ambiguity and blank pages. You want to be the person who shapes the answer, not the one who inherits it French speaker is a key requirement for this job
FEQ327R195 The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Form successful relationships with Databrick's core market (core product) clients within the SMB segment in France, providing technical and business value to Databricks customers in collaboration with Account Executives. * Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. * Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. * Develop customer relationships and build internal partnerships with account executives and teams. * Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. * Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: * The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). * Flexibility to travel (up to 30% as required for customer meetings, events and trainings). * Business proficiency in both French and English required. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
LIVE THE MUSIC WITH US From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world. At eighteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further! We believe music is all about embracing the things that make us different. Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration. Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world. Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives! **Join Us** JOB DESCRIPTION Position based in Paris As a Senior Expert Platform Engineer in the DevXP team, you will shape our Internal Developer Platform (IDP). You will drive platform strategy, architecture, and execution to help engineers ship faster, safer, and with higher quality. A key part of your role will be to actively collect needs and best practices from engineering teams, turning those insights into relevant, well-grounded platform solutions. You will set engineering standards along with senior engineers from the whole company, mentor peers, and bridge platform engineering with AI and cybersecurity. Responsibilities * Platform Engineering - Architect and evolve the IDP, CI/CD pipelines, and automation frameworks. Own the long-term technical vision, define platform standards (IaC, GitOps), and select best-in-class tooling across build, deployment, monitoring, and security. * Developer Experience - Proactively identify and eliminate friction across the software lifecycle. Track DX metrics (DORA, SPACE) and use data to prioritize platform investments. Be the internal advocate for developers. * AI-Augmented Platform - Integrate AI capabilities into the platform (intelligent code review, anomaly detection, smart test generation). Evaluate and operationalize AI tools (GitHub Copilot, LLM-based assistants) and explore agentic automation to reduce developer toil. * Security & Compliance - Embed security-by-design into every platform layer: secure CI/CD (SAST, DAST, SCA, secret scanning), supply chain integrity (SLSA, SBOM), and least-privilege access. Lead our journey toward a DevSecOps culture, building the practices, automation, and mindset that will make security a first-class citizen across all engineering teams - an ambition we are actively working toward. * Reliability & Observability - Define SLOs/SLAs for platform services, ensure full-stack observability, lead incident response, and conduct blameless post-mortems. * Cross-functional Leadership - Collaborate with Engineering, SRE, Infrastructure, and Security teams. Mentor engineers, represent DevXP in architectural forums, and communicate technical trade-offs to diverse audiences. QUALIFICATIONS Qualifications * Degree in Computer Science or equivalent. * 8+ years in platform engineering or DevOps, with 3+ years at senior/expert level. * Track record of operating platforms at scale; fluency with TDD, trunk-based development, and continuous delivery. Required Skills * Platform & DevOps - CI/CD (GitHub Actions), GitOps, IaC (Terraform), Kubernetes, Docker, ArgoCD, GCP (GKE) * Observability - Prometheus, Grafana; SLO/SLI/error budget management. * AI & Automation - Hands-on integration of AI tools in engineering workflows; MLOps familiarity. * Leadership - Technical influence without direct authority, mentoring, strong communication. Nice to Have Skills * Platform & DevOps - Jenkins, Ansible, Cloud Run), testing strategies, Python/Go/Bash. * Observability - OpenTelemetry * Security - DevSecOps pipelines, SAST/DAST/SCA, SBOM, SLSA, policy-as-code (OPA, Kyverno), zero-trust principles. At Deezer, diversity drives innovation. Whatever makes you uniquely you, your experiences, your way of thinking, your journey, might be exactly what we need. If this role speaks to you and aligns with your interests and capabilities, even if you don’t meet 100% of the qualifications listed, please give it a try and tell us more! #BeYou ADDITIONAL INFORMATION At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding : * Regular Diversity & Inclusion internal and external talks * Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability, Parenthood (signatory of the Parental Challenge) and LGBTQIA+ * Multiple e-learnings and mandatory training sessions for all managers * English and French courses for all, so that everyone can connect and feel included Beyond benefits like transportation, we offer you extra perks like: * A Deezer premium family account for free * Access to gym classes * Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong * Deezer parties several times a year and drinks every thursday * Allowance for sports, travelling and culture * Meal vouchers * Mental health and well-being support from Moka.Care * Great offices always located in dynamic and attractive districts, whether in Paris, London or Sao Paulo! * Hybrid remote work policy If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here!