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.

Who are we 

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. 

We specialize in data & AI transformation and data-driven marketing to drive tangible business results across the entire enterprise value chain. Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. 

From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1700+ employees operate in 25 countries (Europe, Asia, Americas, Middle East, India, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi.To support this growth, our Consulting department is looking for a Junior Software Engineer.

What is it to be a Senior Software Engineer in Artefact?

As a Senior Software Engineer at Artefact you will work on all aspects of data engineering in multidisciplinary client teams. As a Senior Software Engineer at Artefact, you will be responsible for the good relationship with your clients in terms of software engineering tasks and you will start to supervise more junior profiles.

You will be using data as a tool to solve the real-world problems encountered by various sectors (e.g. retail, luxe, telecom, healthcare). This involves multiple activities:

• You will work in an agile team composed of data experts like you, but also non-technical people.
• You will work on and deploy your software to the cloud (GCP, AWS or Azure).
• You will implement software with Python and SQL to create applications and data transformations.
• You will apply DevOps principles: automating tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (we use terraform), packaging applications in containers (we usedocker), implementing enablers for data observability (we use DBT).
• You will be developing one or more of the following technical expertises: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering

Profile - What we are looking for?

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and  indexation systems (ElasticSearch, Vespa) is a plus 
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English and you are fluent in french to work in our Parisian office.

The recruitment process : 

To join Artefact, we propose to you an hiring process in four steps : 

• HR Call 
• Interview #1 - Coding Test with a senior Software Engineer
• Interview #2 - Architecture and Pipeline Test with a senior Software Engineer
• Interview #3 - Fit Interview with the software engineer Director.

Each interview is an opportunity to talk about your experience and learn more about Artefact and the software engineer position 

Onboarding Process : 

When you join Artefact, we organize an onboarding week to give you a 360 degree view of the company (training to give you the keys of the consulting culture and the consulting skills, share of tips about the project management). This time allows you to meet other newcomers and to have a large vision of the company.

Tasty Benefits : 

• Ideal location: we are based in the heart of Paris in the 9th district. 
• A unique mix of talents (Data consultants, Data Analyst, Data scientist, software engineer), and fast career opportunities. 
• A great place to learn: You will master the key skills of the data consulting world: you will receive regular training on technology, you will work in hybrid teams, you will learn the specific ways of working in tech (product mindset, agility...). At the end of your Artefact experience, you are an experienced technology leader.
• In addition, you have a mentor who will be dedicated to help you in your orientation and your professional development within Artefact.
• Culture: Innovation, Collaboration and Action are our values. We are doers who working together to create innovative solutions

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 :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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.

Who are we 

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. 

We specialize in data & AI transformation and data-driven marketing to drive tangible business results across the entire enterprise value chain. Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. 

From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1700+ employees operate in 25 countries (Europe, Asia, Americas, Middle East, India, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi.To support this growth, our Consulting department is looking for a Junior Software Engineer.

What is it to be a Senior Software Engineer in Artefact?

As a Senior Software Engineer at Artefact you will work on all aspects of data engineering in multidisciplinary client teams. As a Senior Software Engineer at Artefact, you will be responsible for the good relationship with your clients in terms of software engineering tasks and you will start to supervise more junior profiles.

You will be using data as a tool to solve the real-world problems encountered by various sectors (e.g. retail, luxe, telecom, healthcare). This involves multiple activities:

• You will work in an agile team composed of data experts like you, but also non-technical people.
• You will work on and deploy your software to the cloud (GCP, AWS or Azure).
• You will implement software with Python and SQL to create applications and data transformations.
• You will apply DevOps principles: automating tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (we use terraform), packaging applications in containers (we usedocker), implementing enablers for data observability (we use DBT).
• You will be developing one or more of the following technical expertises: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering

Profile - What we are looking for?

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and  indexation systems (ElasticSearch, Vespa) is a plus 
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English and you are fluent in french to work in our Parisian office.

The recruitment process : 

To join Artefact, we propose to you an hiring process in four steps : 

• HR Call 
• Interview #1 - Coding Test with a senior Software Engineer
• Interview #2 - Architecture and Pipeline Test with a senior Software Engineer
• Interview #3 - Fit Interview with the software engineer Director.

Each interview is an opportunity to talk about your experience and learn more about Artefact and the software engineer position 

Onboarding Process : 

When you join Artefact, we organize an onboarding week to give you a 360 degree view of the company (training to give you the keys of the consulting culture and the consulting skills, share of tips about the project management). This time allows you to meet other newcomers and to have a large vision of the company.

Tasty Benefits : 

• Ideal location: we are based in the heart of Paris in the 9th district. 
• A unique mix of talents (Data consultants, Data Analyst, Data scientist, software engineer), and fast career opportunities. 
• A great place to learn: You will master the key skills of the data consulting world: you will receive regular training on technology, you will work in hybrid teams, you will learn the specific ways of working in tech (product mindset, agility...). At the end of your Artefact experience, you are an experienced technology leader.
• In addition, you have a mentor who will be dedicated to help you in your orientation and your professional development within Artefact.
• Culture: Innovation, Collaboration and Action are our values. We are doers who working together to create innovative solutions

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 :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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 1 700 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 :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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 :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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 1 700 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 :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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.

Who are we 

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. 

We specialize in data & AI transformation and data-driven marketing to drive tangible business results across the entire enterprise value chain. Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. 

From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1700+ employees operate in 25 countries (Europe, Asia, Americas, Middle East, India, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi.To support this growth, our Consulting department is looking for a Junior Software Engineer.

What is it to be a Senior Software Engineer in Artefact?

As a Senior Software Engineer at Artefact you will work on all aspects of data engineering in multidisciplinary client teams. As a Senior Software Engineer at Artefact, you will be responsible for the good relationship with your clients in terms of software engineering tasks and you will start to supervise more junior profiles.

You will be using data as a tool to solve the real-world problems encountered by various sectors (e.g. retail, luxe, telecom, healthcare). This involves multiple activities:

• You will work in an agile team composed of data experts like you, but also non-technical people.
• You will work on and deploy your software to the cloud (GCP, AWS or Azure).
• You will implement software with Python and SQL to create applications and data transformations.
• You will apply DevOps principles: automating tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (we use terraform), packaging applications in containers (we usedocker), implementing enablers for data observability (we use DBT).
• You will be developing one or more of the following technical expertises: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering

Profile - What we are looking for?

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and  indexation systems (ElasticSearch, Vespa) is a plus 
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English and you are fluent in french to work in our Parisian office.

The recruitment process : 

To join Artefact, we propose to you an hiring process in four steps : 

• HR Call 
• Interview #1 - Coding Test with a senior Software Engineer
• Interview #2 - Architecture and Pipeline Test with a senior Software Engineer
• Interview #3 - Fit Interview with the software engineer Director.

Each interview is an opportunity to talk about your experience and learn more about Artefact and the software engineer position 

Onboarding Process : 

When you join Artefact, we organize an onboarding week to give you a 360 degree view of the company (training to give you the keys of the consulting culture and the consulting skills, share of tips about the project management). This time allows you to meet other newcomers and to have a large vision of the company.

Tasty Benefits : 

• Ideal location: we are based in the heart of Paris in the 9th district. 
• A unique mix of talents (Data consultants, Data Analyst, Data scientist, software engineer), and fast career opportunities. 
• A great place to learn: You will master the key skills of the data consulting world: you will receive regular training on technology, you will work in hybrid teams, you will learn the specific ways of working in tech (product mindset, agility...). At the end of your Artefact experience, you are an experienced technology leader.
• In addition, you have a mentor who will be dedicated to help you in your orientation and your professional development within Artefact.
• Culture: Innovation, Collaboration and Action are our values. We are doers who working together to create innovative solutions

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.

At Fever, we’re building something exceptional—combining strategy, creativity, and the power of advanced technology to redefine what’s possible in organic search.  By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.

About the Role:

• You'll be the expert in technical SEO for our transactional ecosystems (feverup.com, white label websites and other Fever group websites) reporting directly to the SEO Manager.
• Analysis, definition and optimisation of the information architecture
• Strong Technical Skills (Crawling, Indexing, Structure data, Core web vitals, HTML, CSS, CDN performance, APIs Automatition…)
• Ensure optimal bot accessibility for the best processing for traditional search engines and LLMs.
• Be up to date with the latest changes on search industry to be able to propose quick actions adapting our sites so that they comply with the latest SEO/GEO requirements
• Take ownership of monitoring, establishing success KPIs and tracking methodologies, including large-scale log analysis with dashboarding and alerting systems (ELK, BigQuery, Splunk or similar).
• Partner with Data, Product and Systems to execute against our technical roadmap
• Design, implement and iterate experiments to increase traffic/ranks at a rigorous pace
• Audit and measure our engineering developments and implement changes to prevent visibility losses on search ecosystems.

About You:

• Proven experience as a technical SEO for ecommerce or similar (at least 5 years working with high traffic websites) and experience providing results from actions
• Experience working with international sites, adapting the global SEO strategy according to the needs of local markets
• Proactive or independent profile capable of self-management
• Being data-driven and kind of a data-geek: clear understanding of data, analytics and metrics with the ability to make data-driven recommendations of actions
• Hands-on experience applying AI/LLMs to build SEO solutions, automate workflows and enhance productivity
• Thorough knowledge of search engine ranking factors, including emerging LLM-powered search ecosystems (RAG, citations, query fan-out) and their optimization strategies
• Knowledge of HTML, JS and CSS required
• Critical thinker and problem-solving skills
• Familiar with industry-standard & enterprise SEO software
• Possess up-to-date knowledge and maintains current SEO practices
• Strong personal ownership, High level of initiative and work well in a team environment
• Excellent Spanish & English written and oral communication skills

Valuable Requirements:

• Understanding of Google Apps Script and Python.
• Knowledge of SQL for data exploitation 
• Experience on workflows automation
• Experience managing teams

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid
• Home office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English and Spanish Lessons
• We have free  food, drink and fruit at the office!
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow

#LI-Hybrid

At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.

Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.

As the buy now pay later leader in France and active in 10 European countries, we’ve empowered over 21,000 merchants and 8 million consumers.

With 360+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe—and we’re just getting started.

Alma is the company for you if are looking for:

Collective intelligence is the driving force behind Alma: we are looking for open-minded, curious, and ambitious people who want to actively participate in this exponential growth.

To continue to deliver an optimal purchasing experience and absolute ease of use, all teams at Alma (Tech, Product, Sales, Operations, Data, Risk, Finance, Compliance, Legal, Marketing and People) will strengthen their members to maintain the highest standards of quality and trust while pushing these innovations at Alma’s pace.

About the job

We are looking for a Data Engineer to join our Data team and help us build a scalable, reliable, and analyst-friendly data platform.

In this role, you will report to the Head of Data and work alongside another Data Engineer within a broader data community composed of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and 5 people in the AI team. Your mission will be to strengthen the foundations of our platform while making life easier for analysts and business users across Alma.

Your missions

As a Data Engineer at Alma, your role will be to help design and improve a scalable, reliable, and secure data platform.

Your goal will not only be to build robust pipelines and infrastructure, but also to create the best possible development environment for analysts and data practitioners. This role has strong leverage because the work you do will directly improve how the wider data community ships, documents, governs, and uses data every day.

What you will do

You will contribute across platform, infrastructure, governance, and enablement topics. In particular, you will:

• Build, maintain, and improve our data warehouse and transformation layer
• Develop reliable and performant ingestion processes from internal databases and external tools into our warehouse
• Improve deployment and engineering practices across the data stack, especially around CI/CD and staging environments
• Strengthen infrastructure-as-code practices and ownership through Terraform
• Improve access management and governance across our GCP environment and analytics tooling
• Work on observability, documentation, lineage, and overall platform reliability
• Partner closely with Data Analysts, Business Analysts, Product teams, and the AI team to understand their needs and remove friction from their day-to-day work
• Share knowledge, document decisions, and contribute to raising engineering standards across the team

Our stack

Our current data stack includes:

• Google Cloud Platform
• BigQuery
• PostgreSQL / Cloud SQL
• dbt (including dbt docs, Elementary, Colibri)
• Airbyte
• Argo
• Terraform
• GitHub Actions
• Looker & Metabase
• Python

What we are looking for

We are looking for someone who combines strong technical fundamentals with a collaborative way of working.

You might be a great fit if:

• You have 3+ years of experience as a Data Engineer, ideally in a fast-growing tech environment
• You have hands-on experience building and maintaining modern data platforms and orchestration workflows
• You are comfortable working with cloud infrastructure, infrastructure as code and SQL-based transformations
• You care about reliability, maintainability, documentation, and good developer experience
• You are able to take ownership of projects from problem framing to delivery
• You are comfortable communicating in English

Interview process

Our interview process typically includes:

• A video call with our HR team
• Hiring manager interview
• A technical discussion with a Data Engineer and a Data Analyst
• A video call with the Head of Data and a Data Analyst

OUR VALUES

• Raise the bar
• Do the right thing
• Test, Learn, Repeat
• Make it happen
• Lead with humility

DIVERSITY & INCLUSION

At Alma, we're committed to fostering an environment where diversity and inclusion are at the heart of our values. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome.

As an equal opportunities employer we make sure the application process and our workplace is for everyone.

The Teads Data Science Summer School, established in 2018, is a premier, intensive program designed to significantly advance the data science and machine learning skills of students and young professionals.

This hands-on, one-week program combines theoretical concepts with practical application, providing participants with a comprehensive understanding of data science and equipping them with sought-after, cutting-edge skills from the industry. Teads, a leader in digital innovation, is dedicated to fostering excellence through industry collaboration and education.

If you are passionate about data and enjoy coding, this is an exceptional opportunity to propel your career. During the one-week program, you will work with our highly talented data scientists and engineers, navigating the complete lifecycle of real-world data science projects. Using gigabytes of realistic advertising data, you will apply advanced data science techniques to solve actual industry challenges on a massive scale. A great opportunity for gaining practical knowledge and experience.

To qualify, you must possess strong coding skills and a foundational knowledge of data science and machine learning.

The program is entirely FREE, which includes all activities, lunches, coffee, and snacks. However, participants must commit fully to the entire duration of the program.

Who will benefit most from attending the Data Science Summer School?

The Teads Data Science Summer School is designed for enthusiastic individuals with some existing knowledge in machine learning and data science, gained through university studies, online courses, or involvement in platforms like Kaggle.

We encourage applications from final-year undergraduates, master's, and Ph.D. students in computer science or related fields, as well as recent graduates and professionals seeking to advance their expertise. Although prior experience is advantageous, the program is structured to accommodate all skill levels, allowing both beginners and advanced practitioners to learn and contribute effectively. 

Essential prerequisites include a basic grasp of machine learning and data science concepts and proficiency in coding, as the summer school focuses heavily on practical, hands-on projects. While experience with Python and TensorFlow is helpful, it is not mandatory.

What to Expect?

Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities.

The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops utilizing large and sparse datasets.

The official language of the summer schools, including all presentations and materials, is English.

Why Learn From Us?

At Teads, we’re building the leading recommendation platform for the Open Web. Our World-Class Data Science Team is daily working with:

• Machine Learning at Scale: Our systems calculate over 1 billion machine learning predictions every second
• Immediate Business Impact: Deployed ML models have a direct and significant impact on our business
• Production-Ready Algorithms: We don't keep cutting-edge deep learning algorithms on the shelf - we deploy them to make a difference
• Massive Data Processing: We generate and manage petabytes of data daily, using our own data centers, S3, and BigQuery
• Multi-Cloud Environment: Our infrastructure leverages the power of AWS, GCS, and a private cloud
• Optimized Production: Java and Go-lang are our primary production languages; Python is used for offline research
• In-House TensorFlow Expertise: Our highly optimized ML algorithms are developed in-house using TensorFlow
• In-House Distributed AutoML Framework: Our custom AutoML framework empowers effective offline research
• End-to-End Ownership: Our data scientists own the ML-powered features they develop, from initial concept to final product
• Continuous Learning: We foster a culture of learning, both internally and externally 
• Knowledge Sharing: We share our expertise externally through conference talks, meetups, and student mentorship programs 
• Global Collaboration: We're part of a world-class data science and software engineering organization with a global presence

Timeline 

• Registration open: 20. 4. 2026 - 14. 6. 2026
• Selection notification: 19. 6. 2026
• Summer School: 29. 6. 2026 - 3. 7. 2026

Registration open: 20. 4. 2026 - 14. 6. 2026Selection notification: 19. 6. 2026Summer School: 29. 6. 2026 - 3. 7. 2026

AI and Data operations Engineer

We're looking for a AI and Data Operations Engineer to join our team and drive operational excellence across multiple technical domains. This role sits at the exciting intersection of code, architecture, data management, and AI innovation. You'll be the go-to person for critical operational systems while continuously pushing the boundaries of what's possible with AI agents and automation.

👉 You will be more specifically in charge of things like...

• Python Development & Maintenance: Develop, maintain, and optimize Python scripts that power our operational processes
• Data Lake Management: Ensure the reliability, performance, and continuous improvement of our data lake infrastructure
• AI Agent Operations: Support, deploy, and enhance AI agents that automate critical business processes
• Cross-Functional Projects: Lead and contribute to strategic projects spanning multiple teams and technical domains
• System Architecture: Contribute to architectural decisions that impact operational efficiency and scalability
• Process Optimization: Identify bottlenecks and opportunities for improvement, implementing solutions that drive measurable impact

👤 It would be great if...

• 3+ years of experience in a Technical Operations, Data Engineering or similar role
• Strong Python skills (scripting, automation, code optimization)
• SQL proficiency for data analysis and manipulation
• Experience with:
  • API design and integration
  • AWS Lambda or similar serverless computing platforms
  • BigQuery usage, optimization, and management
  • ETL pipeline development and maintenance
• Project management abilities: Proven track record of framing, coordinating, and reporting on multi-team initiatives
• AI/LLM expertise: Hands-on experience building agents with multiple Large Language Models
• Production AI experience (highly valued): Experience running AI agents in production environments on business-critical processes

Bonus Points

• Genuine curiosity and a continuous learning mindset
• Proactive problem-solving approach
• Excellent communication skills across technical and non-technical audiences
• Ability to context-switch between diverse projects and stakeholders
• Experience balancing support responsibilities with strategic improvement initiatives
• Track record of driving automation and efficiency gains

This position offers a rare opportunity to combine internal operational support with cutting-edge AI implementation. You'll be working on mission-critical processes while having the autonomy to innovate and improve systems using the latest AI technologies. If you thrive in dynamic environments where every day brings new challenges and you're passionate about leveraging AI to solve real business problems, this role is for you.

What’s in it for you?

• Flex Life: While we offer hybrid options each position specifies the level of flexibility. Our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace.
• Generous Health Benefits: We have partnered with Kenko for your healthcare needs.
• A 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture.
• Annual allowance of €200 if you come to the office by bike to cover maintenance costs.
• Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
• Events & Team building: #We care and we have fun! We organise ****Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
• Parent Care: Gift & care packages for parents.
• PTO: Based on the country you are based from (e.g. 25 days in France).

What are the next steps?

• Talent Acquisition Manager will contact you for a first chat
• You will then meet with [Boris]
• You will complete [test & case study] with Boris and someone from the AI Ops team
• You will meet Olivier our COO as well
• The final step will be a one-on-one meeting with Benjamin Fabre our CEO
• Welcome to DataDome!

DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud from simple to sophisticated across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform is built on a multi-layered AI engine that focuses on intent, not just identity. Because it’s not about knowing who’s real, it’s about what they intend to do. With thousands of AI models that adapt to every fraudulent click, signup, and login, DataDome blocks fraud in less than 2 milliseconds, without compromising performance. DataDome is fully automated and integrates seamlessly into any tech stack. Backed by a 24/7 SOC team of advanced threat researchers, DataDome stops over 350 billion attacks annually. Experience protection that outperforms with DataDome.

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day.

As a Senior UI Software Engineer on the Connectors Platform Team, you’ll play a key role in building products that help our customers ingest, transform, and enrich their data with AI, making it seamless to integrate into Algolia.

The Team

The Connectors Platform team builds services that make it easy for our global customer base to bring their data into Algolia efficiently. Our platform powers:

• E-commerce integrations with Shopify, Commercetools, and BigCommerce

• Data source connectivity for JSON, BigQuery, Supabase, MySQL, and many more

• Data transformations to dynamically update and prepare data as it flows into Algolia

• AI-powered enrichment that automatically enhances data to drive improved search relevance and personalization

The role will consist of:

As a Senior UI Software Engineer on the Connectors Platform team, you will play a central role in designing and building user-facing products that make data ingestion, transformation, and enrichment seamless. You will:

• Design and build intuitive, AI-assisted customer UIs for data ingestion and enrichment

• Own the end-to-end user experience, from technical design through production delivery

• Champion engineering excellence with clean, tested, performant, and accessible code

• Shape the product roadmap by proposing ideas that improve how businesses connect data with Algolia

You might be a fit if you have:

• Around 5+ years of software engineering experience

• Strong expertise in TypeScript and React

• A track record of delivering high-quality, maintainable, and tested code

• Curiosity and initiative to experiment with UI improvements

• Clear communication skills in English, both written and spoken

Team’s current stack

React, TypeScript, Go, Ruby, Kubernetes, GCP

We are looking for a Senior Data Engineer - GCP/BigQuery to join the Analytics Engineering team in Data.

As a Senior Data Engineer - GCP/BigQuery, your mission will be to build data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will be working in a team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

• Building and maintaining data pipelines using Python to support Doctolib's AI strategy
• Developing and maintaining data marts in BigQuery using SQL/Jinja, DBT
• Creating dashboards for high-level reporting using Tableau
• Collaborating with stakeholders to understand their data needs and define specifications
• Ensuring data quality, security (GDPR compliance), and availability through monitoring and optimization

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!
• Our data stack includes: Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

Who you are

Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

• You have at least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
• You have a strong expertise on Google Cloud Platform (GCP) stack
• You are proficient in Python, SQL, and DBT for building data pipelines
• You have experience with BI tools such as Tableau, Metabase, or similar platforms
• You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product)
• You have strong communication skills and can collaborate effectively with business teams

Now it would be fantastic if you:

• Have experience with AI products
• Have experience with Vertex AI
• Have experience with Cursor / Claude
• Are familiar with GDPR regulations

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: additional leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of a sport club membership or a creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card

The interview process

• HR Screen
• Live tech interview
• Behavioral interview + Meeting with the team at the office
• At least one reference check

Job details

• Permanent position
• Full-time
• Paris
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here.

Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

We are looking for a Senior Data Engineer - Analytics to join the Analytics Engineering team at Doctolib.

As a Senior Data Engineer - Analytics, your mission will be to work on building data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will be working in a team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

• Building and maintaining data pipelines using Python (Dagster) to support Doctolib's AI strategy
• Developing and maintaining data marts in BigQuery using SQL/Jinja, DBT
• Creating dashboards for high-level reporting using Tableau
• Collaborating with stakeholders to understand their data needs and define specifications
• Ensuring data quality, security (GDPR compliance), and availability through monitoring and optimization

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!
• Our data stack includes: Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

Who you are

Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

• You have at least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
• You are proficient in Python, SQL, and DBT for building data pipelines
• You have experience with BI tools such as Tableau, Metabase, or similar platforms
• You have a first experience with Google Cloud Platform (GCP) stack
• You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product)
• You have strong communication skills and can collaborate effectively with business teams

Now it would be fantastic if you:

• Have experience with AI products
• Have experience with Vertex AI
• Have experience with Cursor / Claude 
• Are familiar with GDPR regulations

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: additional leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of a sport club membership or a creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card
• Bicycle subsidy

The interview process

• HR Screen
• Live tech interview
• Behavioral interview + Meeting with the team at the office
• At least one reference check
• Offer!

Job details

• Permanent position
• Full-time
• Paris
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here.

Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Your Impact

We are looking for a Staff DataOps Engineer to join the Data and ML Platform team.

Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

• Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
• Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What you'll bring

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

• You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
• You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
• You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
• You are highly skilled in programming with Python, and have a solid understanding of software development principles
• You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

It would be fantastic if you:

• Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
• Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
• Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
• Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Case Study
• System Design Interview
• Behavioral interview with Hiring Manager
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt
• Full-time
• Paris
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

What you’ll do

At Doctolib, we're on a mission to transform healthcare through the power of AI. As a Senior Data Engineer, you'll play a key role in building and optimizing the data foundations within the AI Team to deliver safe, scalable, and impactful models.

You will join a dedicated team working on data infrastructure for LLM, VLM and RAG-based systems, powering our new AI Medical Companion.

Your work will ensure that our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data.

Your responsibilities include but are not limited to:

• Ensure high standards of data quality for AI model inputs.
• Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases.
• Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models.
• Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently.
• Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability.
• Integrate unstructured and structured data sources (text, speech,image, documents, metadata) into unified data models ready for AI consumption.
• Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).
• Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets.
• Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment.

Who you are

You could be our next teammate if you have:

• Master’s or Ph.D. degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads.
• Strong experience with the GCP data ecosystem
• Proficiency in Python and SQL, with experience in data pipeline orchestration (e.g., Airflow, Dagster, Cloud Composer).
• Deep understanding of NoSQL systems (e.g.,  MongoDB) and vector databases (e.g.,  FAISS, Vector Search).
• Experience designing data architectures for RAG, embeddings, or model training pipelines.
• Knowledge of data governance, security, and compliance for sensitive or regulated data.
• Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning (extract snapshots, change tracking, reproducibility).
• Familiarity with  (Docker, Kubernetes) and CI/CD for data workflows.containerized environments
• A collaborative mindset and passion for building the data foundations of next-generation AI systems.

What we offer

• Free health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including remote policy adaptations, extra days off, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of your sport club membership or creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card
  
  

The interview process

1. HR Screen
2. Technical Deep Dive 
3. System Design
4. Behavioral Interview
5. Reference check and criminal records check

Offer!

Notre équipe Workspace recherche un·e Google Admin basé·e à Paris. 

Nous sommes à la recherche d'un administrateur Google motivé et axé sur le client pour rejoindre notre équipe de Digital Collaborative tools. En tant qu'administrateur Google, vous serez chargé de fournir un soutien technique et le maintient opérationnel de nos outils Google. Cette opportunité convient parfaitement aux individus qui prospèrent dans un environnement dynamique et qui aiment résoudre des problèmes techniques complexes.

TA FUTURE CONTRIBUTION 

Autant que administrateur Google, vous serez responsable de la gestion et de la maintenance de l'environnement Google Workspace. Ce rôle implique une variété de tâches, notamment la gestion des utilisateurs, les paramètres de sécurité, les configurations d'application et la résolution des problèmes liés aux services Google.

STACK TECHNIQUE

LÉGENDE :  [+] débutant, [++] confirmé, [+++] avancé, [gras] = compétence obligatoire

• SAVOIR FAIRE :  généraux

+++   Bon niveau en App Script, Javascript, Python, SQL et HTML 
+++   Gestion de projets et construction de process
+++   Bonne utilisation des outils de la suite GWorkplace
++     Connaissances OPS AWS & GCP
++    Anglais B2
++     Utilisateur avancé de DataStudio
++     Connaissances des normes de DEV et des outils de DEV/ Sécurité/Qualité du DEV

• SAVOIR FAIRE : Console admin Google

+++   Connaissances sur les produits GCP BigQuery, Cloud functions (Certification Cloud Engineer I)
+++   Connaissances des APIs Google et Admin (Certification Google admin)
++     Connaissances de la GDPR
++     Connaissance sur l'enregistrement de nouveaux noms de domaine

• SAVOIR FAIRE :  Support

++    Connaissance sur IAM chez DKT ( training à prévoir)
+      Connaissance sur la création d'applications, de formulaires automatisés et d'AddOn

• SAVOIR FAIRE : Sécurité de GWorkspace

+++   Management fonctionnel
+++   Connaissance des politiques de sécurité réseau
+++   Connaissance des enregistrements MX, TXT, SPF
+       Connaissance des normes ISO de sécurité et de risk management

• SAVOIR FAIRE :  GCDS

++     Connaissances sur la gestion de Windows Server et ligne de commande

CE QUE NOUS T’OFFRONS

• Mode de travail hybride;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).