About The Role 

As a Technical Account Manager in our EMEA region, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.

In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.

What You’ll Do

• As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
• You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
• From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
• Provide customers with clear proactive technical guidance and expertise across all our products
• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
• Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level

What We're Looking For

• 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
• Excellent project management and communication skills
• Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, reporting tools, etc.)
• Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
• Ability to collaborate cross functionally with different teams and types of people
• Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease
• Proficiency of spoken and written English

About Hightouch

At Hightouch, we’re on a mission to empower everyone to take action on their data. Our momentum is undeniable: we were recently recognized as a Leader in the Gartner® Magic Quadrant™ and named one of Forbes’ Best Startup Employers. Today, hundreds of world-class brands—including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart—trust us to power their growth.

Pioneering the Future of Data

We pioneered the Composable Customer Data Platform (CDP), a category-defining approach that enables companies to activate customer data directly from their data warehouse. We’ve since pushed the boundaries of innovation with our AI Decisioning platform, which allows marketers to deploy AI agents that orchestrate 1:1 customer interactions at scale. By removing the technical barriers to data access, we enable every business user to deliver deeply personalized experiences and optimize performance in real time. While we’re headquartered in San Francisco, our talent is global, with team members collaborating from all over the world. Following our Series C funding, Hightouch is valued at $1.2B and is backed by elite investors, including Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

Our Culture and Values

We’re a high-impact team that values substance over ceremony. We approach every challenge with a first-principles mindset, move with urgency, and treat one another with genuine compassion. We look for teammates who are:

• Strong Communicators: Able to distill complex ideas into actionable insights.

• Growth-Oriented: Eager to learn, adapt, and scale alongside the company.

• Driven: Motivated by the persistence required to achieve ambitious goals.

About The Role 

Hightouch is looking for a Sales Development Representative (EMEA) to join our rapidly growing team in Paris. In this role, you will be responsible for generating top of the funnel leads in addition to building foundational processes and strategies to the commercial sales team. You will be outbounding to engineers, marketers, and operation teams so we are looking for someone who is highly intelligent and also has the ability to connect with multiple audiences. This role is aligned to our EMEA South team, based out our brand new Paris office and is only open to a fluent French speaker. 

What You’ll Do 

• Outreach directly into prospective agents that fit our ideal persona via cold-calls, text, emails, integrated marketing campaigns, LinkedIn campaigns and other methods
• You work with the growth team to  research and craft personalized outreach to target accounts
• Find creative methods, channels, and strategies to help guide prospects to our free trial
• As part of our growing SDR team, help define and improve sales processes, strategies, tactics, and more
• You will be tasked with a goal and expected to execute against it on a monthly basis
• You will live in slack and monitor for new signups, engaging them directly in order to schedule meetings with them. Those meetings will be scheduled for with the sales org and the customer

What We're Looking For

• Bachelor's degree
• Be a Self-starter, ability to self-motivate in a high-growth start-up
• Effective communication skills, both written and verbal
• Prior experience engaging customers and prospects
• Interest in tech and more specifically data
• Ability to multitask, organize, and prioritize work

Even if your experience does not line up perfectly, we are still excited to have you apply. The best hires do not always check off every box of a job description.

Job Description

The PM - Payment Network is a technical role within the Product team dedicated to maximizing the health and efficiency of Mangopay’s payment processing network. As our payments volume grows, this role ensures that our technical performance matches our innovative product suite.
You will also work closely with our payments partners to ensure all Mangopay clients are compliant with card processing standards.

Roles & Responsibilities:

Authorization & Performance Excellence

• KPI Management: Own the optimization of authorization rates, fraud-to-sales, and chargeback performance through advanced data monitoring and performance tuning.
• Issuer and payment partner Liaison: Manage relationships with key ecosystem participants and issuers to troubleshoot authorization bottlenecks and improve global acceptance rates.
• Deep-Dive Analytics: Utilize internal data tools to identify systemic improvements in the payment path, reducing friction for merchants and cardholders.

Technical Data Integrity & Mandates

• Data Stewardship: Oversee processes ensuring that clearing and settlement data across our network meets the highest levels of accuracy and scheme compliance.
• Technical Execution: Lead the technical implementation of specific card processing needs for 3DS, tokenization, and authorization messaging, partnering with Product teams to ensure timely delivery.
• Roadmap Management: Track and socialize technical deadlines for payment partner-driven changes, ensuring Mangopay’s infrastructure is prepared for upcoming industry shifts.

Technical Governance & Security Compliance

• PCI-DSS Leadership: Manage the end-to-end validation process for merchant SAQ and RoC submissions, ensuring the continued security of our processing environment.
• Compliance Reporting: Submit bi-annual technical reports and manage the relationship with Qualified Security Assessors (QSAs) during recurring audits.
• Incident Response Coordination: Provide technical expertise during security reviews or breach response scenarios, ensuring all scheme reporting obligations are met with precision.

Experience

You are recognised for:

• 5+ years of experience in technical payment operations, payment engineering, or technical compliance for a major PSP or global acquirer.
• Technical Breadth: Deep understanding of ISO 8583, 3D Secure frameworks, and the technical mechanics of the authorization and settlement lifecycle.
• Security & Compliance Expertise: Strong background in PCI-DSS governance and a history of successfully managing technical audits.
• Data-Driven Problem Solving: Expert ability to monitor and analyze payment performance data; professional experience with SQL and Snowflake is required.
• Cross-Functional Influence: Proven ability to lead complex technical projects that require collaboration between Treasury, Engineering, and Security teams.
• Relevant Certifications: PCIP, CISA, or similar technical certifications are a plus.

Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake.
Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data.

Rejoignez-nous, épanouissez-vous

Vos missions : 

- Développement de pipelines ETL/ELT avec Airflow, Python, SQL
- Connexion aux bases sources (Exadata, Oracle, etc.)
- Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...)
- Nettoyage, mapping, déduplication et enrichissement des données
- Collaboration avec les ’architectes pour appliquer les modèles cibles
- Documentation technique et référentiels
- Concevoir et mettre en œuvre les flux de réplication
- Harmoniser et transformer les données
- Automatiser les pipelines de données
- Développer des Pipelines Gitlab CI/CD
- Développer d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python.
- Contribuer au FinOps

Vous êtes le bon candidat si :

- Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifique
- Très bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…)
- Très bonne maîtrise des bases des données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.)
- Maitrise des langages : SQL, Python
- Maîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL)
- Bonne expérience en Terraform pour l’IaC
- Connaissance de GitLab CI/CD pour l’automatisation des déploiements
- Expérience avec des CRM
- Connaissance des problématiques de data quality, modélisation, monitoring et alerting
- Expérience  : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements dans un environnement similaire
- Une ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciées
- Langues : Maîtrise de l'anglais courant

Ce que nous avons à vous offrir

CAPFI est une entreprise vivante qui place le collectif et le partage entre pairs au cœur de sa culture. Nous vous proposons un environnement de travail flexible dans l’organisation et agile dans le choix de vos missions. CAPFI c’est aussi : 

• Vous offrir la possibilité de suivre des formations certifiantes ;
• Vous permettre de rejoindre les Tribus et de faire vivre l’énergie collective et l’expertise de CAPFI ;
• Vous permettre de consacrer un peu de votre temps pour aider les autres, via NQT, Emmaüs Connect et Le Congé Solidaire, des initiatives dont CAPFI est partenaire.

Chez CAPFI, nous mettons aussi un point d’honneur à ce que tous nos talents évoluent dans un environnement de travail sain, serein et respectueux des exigences sociétales et environnementales. C’est pourquoi :

• Nous sommes labellisés B Corp ;
• Nous sommes signataires de la charte sur l’équilibre vie professionnelle – vie personnelle et de la charte éthique CAPFI.

Notre processus de recrutement :

1 Nous apprenons à nous connaître lors d’un premier entretien téléphonique puis une visio

2 Si vous avez le feeling et que nous aussi, vous réalisez un test technique via la plateforme CodinGame

3 Débrief des résultats de votre test avec un consultant CAPFI

4 Kick off : nous vous proposons une offre de collaboration et nous en discutons ensemble

5 Vous embarquez pour une session d’onboarding : bienvenue dans la famille CAPFI !

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

The Partnerships & Alliances team is the connective tissue between Dataiku and the broader AI ecosystem — Global Systems Integrators (Accenture, Deloitte, PwC, Capgemini), Regional Systems Integrators, and Tech Alliances (AWS, Microsoft, Google, Snowflake, Databricks, Nvidia). While our Partner Sales Managers (PSMs) act as the strategic advisors to the field, we're seeking a Partner Sales Manager Intern to be the operational engine that powers everything behind the scenes.

In this role, you'll help architect the visibility of partner engagement and ensure our internal sales teams (AEs, SEs, CSMs) have the resources, data, and communications they need to work effectively with our partner ecosystem. You'll gain hands-on exposure to enterprise partnerships, GTM operations, and the inner workings of a fast-scaling AI company.

How You'll Make an Impact

Communication & Brand Advocacy

• Lead the end-to-end creation and distribution of a Quarterly Partner Newsletter, tailored for two distinct audiences: an internal edition highlighting KPIs and team wins for stakeholders, and an external edition showcasing successes and metrics to strengthen partner trust.
• Draft and finalise quarterly "Win Wires" — strategic success stories celebrating major deal closures and partnership milestones across the organisation.
• Track, gather, and synthesise data (KPIs, deal progress, sourced/influenced GNARR) to fuel reporting and ecosystem visibility.

Partner Onboarding & Lifecycle Management

• Own and streamline the end-to-end partner onboarding journey, from contract setup in Ironclad through to first certification.
• Ensure partner data (tiers, regions, specialisations) is accurately reflected across Salesforce and Ironclad.
• Equip new partners with timely access to the partner portal, training, and tools they need to ramp quickly.

Operational Excellence

• Maintain dedicated Hyperscaler portals (AWS, Microsoft, Google) to ensure real-time visibility into shared opportunities, pipeline, and joint initiatives.
• Keep the Partner Capability Matrix and onboarding documentation current with new product offerings, service updates, and team announcements.
• Provide administrative support for partner event preparation and post-event follow-up in collaboration with Field Marketing and PSMs.
• Help synthesise feedback from Customer Success teams on partner performance to feed into business reviews.

What You'll Learn

• Ecosystem Strategy: How world-class enterprise software companies build, manage, and scale partnerships with GSIs, RSIs, and Hyperscalers.
• GTM Operations: Hands-on experience with the systems and processes (Salesforce, Ironclad, partner portals) that power a global partner motion.
• Cross-Functional Collaboration: Direct exposure to Partner Sales Managers, Account Executives, Sales Leadership, Field Marketing, and Partner Enablement teams.
• Mentorship & Networking: Work alongside senior Partnerships leaders and build meaningful connections across the Revenue organisation.

What You'll Bring

• Master's Degree
• Organised and detail-oriented, with a knack for making processes run smoothly and a high bar for data accuracy.
• Strong written communication skills — comfortable drafting newsletters, success stories, and partner-facing content.
• Tech-savvy and curious, quick to learn new tools (familiarity with Salesforce, Ironclad, or partner portals is a plus, but not required).
• Basic data skills — comfortable pulling reports or working with spreadsheets to track KPIs and engagement metrics.
• A proactive team player who's happy to roll up their sleeves on the admin work while keeping the bigger picture in view.
• Interest in enterprise software, AI, cloud, or the broader data ecosystem.

#LI-AS1

Who are we?

iBanFirst is a fast-growing European fintech that is revolutionizing international payments for SMEs. Founded in 2016, our platform empowers Small & Medium Multinationals (SMMs) to regain control over their payment operations: currency conversion (FX), international transactions, and foreign exchange risk management across 140 countries — quickly, transparently, and securely.

We make life easier for SMEs through an advanced technology platform (automation, APIs, AI…) combined with dedicated expertise, offering the best of both worlds: the agility of a SaaS solution and the reliability of a trusted partner.

By simplifying complexity, iBanFirst helps thousands of bold companies seize global business opportunities with peace of mind — delivering simplicity, transparency, and security.

Key figures

• 350+ employees across 14 offices in 11 European countries
• 30+ nationalities represented, average age: 32
• 10,000 corporate clients trust us
• €80M in revenue in 2025, with a target of around €100M in 2026
• Profitable for nearly two years
• Ranked for 6 consecutive years in the Financial Times FT1000, among the fastest-growing European companies
• An NPS of 87.5 — an exceptional score in our industry that reflects enthusiastic client feedback on the simplicity, speed, and quality of our service

A strong culture built around 4 core values

• Team First: The complexity of our industry demands collective intelligence. We prioritize cooperation, transparency, and knowledge sharing. Success is a team effort, and decisions are made together.
• Tenacity: We're transforming a challenging and highly regulated market. It requires endurance, fast learning, and resilience — qualities rooted in our entrepreneurial DNA.
• Transformation: Innovation is not a buzzword; it's a necessity in a constantly shifting and strategic sector. We innovate with intent: every technical, product, or organizational improvement is designed for real impact.
• Trust: Trust is the foundation of everything we build — with our clients and, above all, internally. It's driven by ownership, autonomy, and a shared commitment to transparency, rigor, and reliability.

Why join us?

• We operate at the heart of a strategic and fast-evolving sector: international payments for SMEs — a complex, high-potential market.
• We're driven by a meaningful mission: helping bold "Small & Medium Multinationals" succeed globally.
• Our platform integrates cutting-edge technologies (AI, automation…), making it an ideal playground to test, learn, and innovate continuously.
• You'll join an agile environment where your expertise has tangible impact, working alongside talent from top financial institutions.
• iBanFirst is profitable and backed by long-term investors:
  • Xavier Niel and Bpifrance, historical shareholders, have supported and trusted us from the beginning
  • In 2021, the entry of Marlin Equity Partners marked a new chapter in our international ambitions

Joining iBanFirst means joining a profitable, international, fast-growing tech company. It's also a chance to learn, grow, and contribute directly to a shared ambition: simplifying international finance for SMEs.

The Role

Recruitment Context

We are opening this position with the strategic objective of strengthening the seniority level of our Data Analytics team. We are looking for experienced profiles who can take full ownership of cross-functional projects, act as true business partners, and help elevate the team's overall impact across the organization.

Manager & Team

You will report to Fatimata Sall, Head of Data at iBanFirst.

You'll be joining a Data Analytics team of 7 people, including:

• 2 Team Lead Data Analysts
• 3 Data Analysts

The team collaborates closely with all business functions: Finance, Sales, Compliance, Product, Marketing, and Operations. 2026 is an exciting year for the team, with three strategic priorities driving our roadmap: enabling self-service analytics, strengthening data infrastructure and processes, and raising the bar on data quality and governance. You will play a central role in all three.

What will you do?

We are looking for a passionate and highly motivated Senior Data Analyst to join our Data Analytics team. In this role, you will act as a strategic business partner across all functions, driving data-driven decision-making and delivering actionable insights that shape iBanFirst's growth.

You will bridge the gap between business needs and technical implementation, leading complex analytics projects end-to-end while championing scalable, high-quality data practices.

Task breakdown (indicative):

• 70% — Business partnering, analysis & reporting: Work hand-in-hand with business teams to understand their needs, translate them into analytical frameworks, and lead complex cross-functional data projects. Build and maintain strategic dashboards and reports; perform advanced analyses (cohort, attribution, forecasting) and deliver clear recommendations.
• 30% — Technical contribution & data quality: Write high-quality SQL, contribute to data models, and help drive data governance and self-service & AI initiatives.

Key responsibilities:

Strategic Analytics & Business Partnership

• Act as the go-to analytics expert for all business domains (Finance, Sales, Compliance, Product, Marketing, Operations)
• Translate complex business challenges into analytical frameworks and deliver actionable insights
• Proactively identify improvement opportunities and lead strategic data initiatives end-to-end
• Foster a data-driven culture through training, best practice sharing, and stakeholder enablement

Advanced Analysis & Reporting

• Lead complex, cross-functional analytics projects involving multiple data sources
• Build strategic dashboards and reports that empower teams to make data-driven decisions autonomously
• Perform advanced ad-hoc analyses and deliver clear, actionable recommendations

Technical Excellence & Scalability

• Write high-quality SQL code following best practices (version control, code reviews, testing)
• Design and build robust, scalable data models using dbt and Snowflake
• Enable self-service analytics by building reusable data products that reduce dependency on the data team
• Contribute to improving data quality standards and governance practices across the team

Tools you'll work with: Snowflake, dbt (Data Build Tool), Tableau, Metabase, Git, Dust

Role Objectives

First 3 months:

• Get up to speed with our data stack, business context, and team ways of working
• Build strong relationships with key business stakeholders
• Take ownership of initial projects and start delivering value independently

First 6 months:

• Operate fully autonomously on your scope of business domains
• Lead at least one cross-functional data project end-to-end
• Actively contribute to self-service and data quality initiatives

First 12 months:

• Be recognized as a strategic data partner by the business teams you support
• Contribute meaningfully to the evolution of team processes and standards
• Support junior team members and help raise the overall seniority of the team

Objectives are reviewed quarterly and combine both qualitative and quantitative metrics, aligned with the team's three strategic pillars.

What do you bring?

Experience:

• 5+ years of experience as a Data Analyst, ideally in a start-up or scale-up environment
• Proven track record delivering complex analytics projects with measurable business impact

Must-have skills:

• Outstanding communication and interpersonal skills — you know how to make data accessible to non-technical audiences and build strong relationships with business stakeholders
• Strong project management skills — you can independently structure and drive long-term, multi-stakeholder data projects
• Leadership mindset — you're comfortable driving change, supporting teams through transformation, and taking ownership
• Technical proficiency: expert SQL (Snowflake is a plus), dbt or similar transformation tools, and strong experience with Tableau and/or Metabase
• Business acumen — you understand the broader context behind the numbers and can translate requirements into analytical frameworks
• Fluent in both French and English (the team is predominantly French-speaking)
• Passion for code quality, scalability, and self-service analytics
• Comfortable with ambiguity and fast-paced environments

Nice to have:

• Experience in FinTech or financial services (transactional data, regulatory reporting)
• Previous management or mentoring experience
• Knowledge of Python or data quality frameworks

What do we offer?

Contract & benefits

• Permanent contract (CDI)
• Office location: Paris
• Hybrid work policy: Approximately 3 days per week in the office. The team typically aligns on office days together (usually Tuesday and Thursday), with flexibility for individual needs.
• Compensation: €60,000 to €65,000 gross annual salary
• Swile meal card
• Axa health insurance
• Commuter benefits
• RTT (extra paid days off)
• Gymlib subscription
• Paid parental leave

Grow at iBanFirst

• Build deep expertise in the fast-growing FinTech/Paytech industry with a modern, cutting-edge data stack (Snowflake, dbt, Tableau/Metabase, Airflow, Catalog, Dust)
• Grow your data analytics and business partnering skills in a scaling international company
• Enjoy autonomy and ownership on impactful projects — your work directly influences strategic decisions across the company
• Thrive in a multicultural environment, with 14 offices across Europe and colleagues from diverse backgrounds
• Join a tight-knit, high-performing data team known for its great team spirit and genuine collaboration
• Participate in company-wide events: team offsites, company parties, and regular social activities

Recruitment Process

1. Screening call with Malorie Petitjean (Talent Acquisition Specialist)

— 30 minutes – remote (video)

— Purpose: General fit, motivation, salary expectations, availability

2. In-depth interview with Fatimata Sall (Head of Data) + Alex B. (Senior Data Analyst)

— 1 hour – in-person (preferred)

— Purpose: Role-specific skills, business acumen, technical depth, collaboration style. Includes a live case discussion (no take-home assignment) to assess problem-solving approach and analytical thinking. Opportunity to meet part of the team informally.

3. Final round with Julien Molez (N+2)

— 45 minutes – remote (video)

— Purpose: Leadership validation, strategic alignment, long-term potential

Why Engineering at Dataiku? 

Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

What to know about the Field Engineering team 

As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.

How you’ll make an impact

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

Initial call with a member of our Technical Recruiting team

Video call with the Field Engineer Hiring Manager

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with Field Engineer Team members

Final Interview with the Sr Director Field Engineering

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 700 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions

Cadrage et conception technique

• Vous traduisez les besoins des équipes marketing et CRM en exigences fonctionnelles et techniques, en collaboration étroite avec les Product Owners, les équipes data et les interlocuteurs métiers (CMO, CRM managers, growth teams).
• Vous concevez l'architecture technique de projets data marketing complexes : collecte, unification et modélisation de la donnée client, mise en place ou évolution de CDP, intégration des plateformes d'activation, chiffrement de la donnée, application des réglementations (rétention, purge, chiffrement de la donnée client…).
• Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
• Vous rédigez les documents de conception technique et formalisez les décisions (architecture, sécurité, temps réel) pour assurer l'alignement de toutes les parties prenantes.

Leadership et supervision de la livraison

• Vous supervisez la livraison d'un ou plusieurs streams techniques dans des projets data marketing (CDP, data pipelines marketing, tracking, identity resolution, modeling, personalisation temps réel…), en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
• Vous participez directement à l'implémentation et à la résolution de problèmes techniques complexes (réconciliation d'identités, gestion de la conformité RGPD, orchestration des flux d'activation).
• Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et proactive avec les équipes client et les partenaires technologiques (éditeurs CDP, agences media, etc.).
• Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe.

Management et mentorat

• Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation, notamment sur les spécificités de l'écosystème martech.
• Vous êtes un "advocate" du partage de connaissances : vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
• En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
• Vous participez à l'amélioration d'un mandat interne (recrutement, formation, sécurité, bonnes pratiques, offres…) pour améliorer les compétences et le bien-être de l'équipe.

Votre mindset

• Ingénieux(se), vous aimez résoudre des problèmes complexes – notamment liés à l'unification et à l'activation de la donnée client – et avez les bonnes intuitions pour aborder n'importe quel sujet technique.
• Curieux(se), vous êtes en veille constante sur les évolutions de l'écosystème martech, des design patterns data, des nouvelles réglementations sur la privacy et des outils d'activation.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes – tracking, identité, audiences – et justifier vos choix par leur impact sur la performance marketing mesurable (CAC, LTV, ROAS…).

Votre profil

• Issu(e) d'une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions data dans un contexte marketing, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des sujets SRE.
• Vous maîtrisez a minima un cloud provider ou plateforme data standards ((GCP, Azure, AWS, Databricks, Snowflake…).
• Vous avez une expérience concrète sur un ou plusieurs sujets parmi les suivants :
• CDP (Segment, Treasure data, Salesforce Data Cloud, Adobe Experience Platform, Tealium…)
• Collecte & tracking (Tag Management, server-side tagging, Consent Management Platform)
• Identity resolution et réconciliation de profils clients (offline/online, first-party data)
• Activation & intégrations martech (connexions avec des plateformes publicitaires, CRM, email, push)
• Conformité data marketing (RGPD, cookieless, privacy-by-design)
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, CDP, couches d'activation) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement

1. HR call
2. Interview 1 technique – Revue des expériences passées, modélisation de données et test SQL
3. Interview 2 business & technique – Data Marketing business case & architecture data marketing.
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d'aucune sorte, notamment de croyances, de genre, d'âge, de situation d'handicap, d'origine ethnique, d'orientation sexuelle, d'appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

🚀 Qui sommes-nous ?

👥 À propos de l’équipe

🎯 Ta mission

✏️ Tes missions

• Construire des pipelines ETL / ELT et de reverse ETL sur les données des partenaires Wakam
• Comprendre l’architecture existante, incluant le portail d’ingestion de données, le framework de self-service et l’infrastructure technique associée
• Réaliser des transformations de données en SQL à l’aide du framework dbt
• Contribuer au développement des produits de la Data Platform en utilisant Python
• Participer activement au développement de la plateforme data sur Snowflake
• Collecter et intégrer des données provenant de sources variées et de formats différents
• Aider et accompagner les utilisateurs métier dans l’usage des outils développés par l’équipe Data Platform
• Documenter les différentes étapes de transformation, de structuration et d’historisation des données
• Partager les connaissances acquises avec la communauté technique de Wakam

🧠 Ton profil

• école d’ingénieurs
• Master en informatique
• data science
• data engineering
• ou formation équivalente

• Tu as de fortes capacités d’analyse et de réflexion
• Tu sais aussi être dans l’action et orienté(e) résultats
• Tu es curieux(se), autonome et agile
• Tu aimes comprendre les sujets techniques en profondeur tout en gardant une approche concrète et pragmatique
• Tu maîtrises très bien le français et l’anglais, à l’oral comme à l’écrit
• Tu as de bonnes connaissances en :
  • Python
  • SQL
  • entrepôts de données
  • systèmes distribués
  • Cloud

✨ Pourquoi cette alternance est intéressante

• développer tes compétences sur une stack data moderne
• mieux comprendre le fonctionnement d’une data platform
• travailler sur des sujets utiles, avec un impact concret pour les équipes internes et les partenaires
• collaborer avec des profils expérimentés dans un environnement international
• monter rapidement en compétence sur des enjeux à la fois techniques et business

🤖 Environnement technique

• Python
• SQL
• dbt
• Snowflake
• des outils d’ingestion et d’orchestration de données
• des environnements Cloud

🏆 Process de recrutement

Étapes du recrutement

1. Échange avec Jade, Talent Acquisition
2. Échange avec notre Head of Data Platform

Please note that this position is based in Paris, France - relocation support is provided if required (only if you're located within the EU). 

BEST WORK OF YOUR CAREER

Trade Republic is Europe’s largest savings platform, helping 10M+ customers across 17 countries build wealth with simple, safe, and free access to financial markets. 

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU'LL BE DOING

You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business. You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices.

• Working closely with product and business stakeholders to define and build meaningful product metrics
• Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders.
• Improving our architecture (snowflake and dbt) based on what brings the most impact to cost reduction and speed, applying software engineering best practices
• Taking ownership of projects from scoping to delivery and adoption, working autonomously 

WHAT WE'RE LOOKING FOR

• At least 5 years of engineering experience with an analytical mindset
• Solid understanding of architectures, design principles and engineering best practices
• Experience across all stages of the data pipeline: ingestion, transformations, mart creation
• Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table, and we are on a mission to connect the world’s favorite restaurants and the broadest community of loyal diners.

Finding the best dining experience for our Diners community or boosting restaurant performance for our Restaurateurs Partners has never been easier thanks to our signature products:

• 📱TheFork App: our free restaurant discovery & booking app that helps you find your next table with ease.
• 💻TheFork Manager: our innovative software tool that digitizes restaurant operations, empowering our Restaurateurs to manage bookings efficiently and boost their revenue.
• 💳TheFork PAY and TheFork Gift Card: quick and easy ways to pay directly from TheFork app

At TheFork, we also believe that people truly make the difference. None of this would be possible without our vibrant Forkies community. Our strong core values—Better Together, Ownership, Respect, and Growth—are the guiding principles of everything we do, shaping our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable”.

TheFork leads the restaurant booking market in Europe and operates in 11 countries. Our offices boast a fully international team working together in a flexible, multicultural, and constructive environment that provides everyone with space to grow, both professionally and personally.

To learn more about TheFork and our Forkies, explore our official site: https://www.careers.thefork.com

What you will do:

We are on a journey to revolutionize our data capabilities through the modernization of our Data Platform, unlocking insights and innovations that will power the company’s future.

We’re looking for a Senior Data Engineering Manager who can lead and inspire teams to drive the future of data in our company. If you’re passionate about leading from the front and pushing boundaries, join us on this journey.

You will lead 2 teams composed of Data Engineers and Data Ops to implement and maintain best practices in data processing, according to the Data Lakehouse approach.

You will work closely with Data Governance, Product Management and Architects to drive platform improvements and support the ever evolving needs of data and engineering teams.

You will:

• Own the data platform roadmaps
• Enhance and maintain robust batch ingestion and validation pipelines.
• Participate in our data transformation program taking direct ownership of the creation of a self-service data platform and contributing to the implementation of data governance principles.
• Collaborate with engineering teams to implement engineering best practices within the data ecosystem.
• Lead by example, fostering a culture of excellence and continuous improvement within the data engineering team, ensuring collaboration and alignment with broader business and product objectives
• Mentor and upskill team members
• Contribute to system architecture designs with Architects.
• Coordinate and run Proofs of Concept (POCs).

You will directly report to the Head of the tribe.

You Must Meet These Critical Qualifications

• Proven leadership and mentorship experience guiding data engineering teams.
• Extensive experience with Data Lakehouse architectures and implementation.
• Solid understanding of Data Mesh, including domain ownership, federated governance, and data product design.
• Solid understanding of Data Governance and Quality, covering metadata management, data lineage, and data observability in general.
• Proven experience using AWS services and familiar with infrastructure as code (Terraform).
• Proficiency in Python, SQL, Snowflake and Airflow.
• Experience with data modeling and knowledge of medallion architecture.

You Can Impress With These Additions

• Experience with Apache Iceberg and Delta Lake.
• Realtime data processing at scale.

What we offer you:

😄 An awesome team

🏠 A permanent contract (that can be useful in life)

⚖️ Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary  & bonus

🍕 Lunch vouchers available for each working day 

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝Highly inclusive working environment

🤸‍♀️ Lifestyle benefits that can be used to reimburse  expenses related to physical and leisure activities, family support, travel etc

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥  Health insurance

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, a coffee point on each floor, and leisure area

🎤 Team building events

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

👉 Discover life at TheFork

What you will do: 

We are looking for a Senior Data Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).

In this role, you will not only build scalable, production-grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products.

You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain-oriented data ecosystem.

You will report directly to the Senior Data Engineering Manager and work in close collaboration with:

• DataOps team: who own the Data Platform infrastructure
• Architects: to ensure technical decisions align with enterprise architecture
• BI teams, Engineering teams and Data Science teams: who are the main consumers of the platform

Key Responsibilities

Technical Leadership & Delivery

• Design and implement scalable, production-grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability).
• Lead the evolution of orchestration patterns in Airflow to improve scalability, reliability, and maintainability.
• Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap.
• Contribute to shaping and validating the target data architecture in collaboration with Architects, Staff Engineers, and DataOps.
• Proactively identify system weaknesses and design for failure, defining mitigation strategies and resilience patterns.

Data Governance & Quality

• Implement and enforce data contracts and quality controls aligned with defined SLOs.
• Apply data modeling best practices including medallion architecture to create trusted, reusable data assets
• Contribute to establishing domain ownership principles and clear single sources of truth.
• Ensure lineage, metadata, and observability mechanisms are embedded by design in all pipelines.

Enablement & Collaboration

• Drive technical alignment across teams through clear documentation, standards, and mentoring.
• Partner with DataOps to ensure infrastructure, CI/CD, and platform automation at scale.
• Actively support product and engineering teams in adopting the platform, with a strong focus on developer experience.
• Build cross-functional relationships to accelerate adoption and drive platform impact.

Technical Expertise

You Must Meet These Critical Qualifications 

Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership.

Data Platform & Architecture

• Deep hands-on experience with a modern cloud lakehouse in production-grade environments (e.g. Snowflake, Databricks, …).
• Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution.
• Proven experience designing scalable, incremental ELT pipelines.
• Strong understanding of MPP systems and distributed data processing principles.

Performance & Cost Optimization

• Experience optimizing query performance and compute cost in cloud data warehouses.
• Cost-aware design mindset.

Orchestration & Data Integration

• Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies.
• Strong experience designing and operating production-grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom ingestion frameworks.
• Experience designing self-service data platform capabilities is a strong plus.

Cloud & Infrastructure Engineering

• Strong experience with AWS-based data architectures (S3, IAM, networking fundamentals).
• Hands-on experience with Infrastructure as Code (e.g. Terraform).
• Experience implementing CI/CD pipelines for data workflows.
• Understanding of security-by-design principles in cloud data environments.

Data Quality, Governance & Observability

• Experience implementing data quality frameworks, data contracts, and validation strategies.
• Strong understanding of metadata management, lineage tracking, and monitoring practices.
• Experience embedding observability and reliability into pipelines (alerting, SLOs, incident response mindset).

Execution & Autonomy

• Lead initiatives end-to-end, from problem framing to production rollout, with high autonomy.
• Structure complex technical problems into actionable plans and manage cross-team dependencies.
• Make informed architectural trade-offs balancing scalability, cost, reliability, and time-to-market.
• Take ownership of platform stability and continuously improve operational excellence.
• Mentor and help other engineers grow through technical guidance and feedback.

What we offer you:

😄 An awesome team 

🏠 A permanent contract (that can be useful in life) 

⚖️Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary and bonus 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥Health insurance

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, coffee points and leisure area    

🎤 Team building events

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

We believe that we are better together, and we welcome you for who you are. We endeavor to ensure  that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under  applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.

TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application,  interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.

#LI-FF1