Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

Who we are

Join Artefact and shape the future of data and AI! Artefact is a global consulting company at the intersection of data, AI, and digital marketing, helping organizations transform data into real business impact.

We support our clients end-to-end — from defining data and AI strategies to implementing advanced analytics, deploying machine learning solutions, and driving marketing performance. By combining business expertise with cutting-edge technology, our teams deliver tangible results across the entire value chain. Work directly with clients across industries to translate business needs into technical solutions. To make this happen, we’re looking for ambitious, entrepreneurial, and curious people who are eager to solve complex challenges and make a real impact.

Artefact Benelux in Utrecht is looking for an ambitious Data & AI Engineer to strengthen our Tech team.

About the Role

Depending on your background and the project, you'll focus on one or both tracks:

Data Platform

• Build and maintain production-grade data pipelines using dbt, Spark, or Airflow, with a focus on performance, observability, and data quality.
• Architect end-to-end data platforms with robust data models to support analytical and operational use cases.

AI & LLM Applications

• Design and deploy LLM-based solutions 
• RAG systems, Knowledge Graphs, or agentic workflows — using frameworks like LangChain or LlamaIndex.
• Evaluate and integrate new AI tools and models to improve reliability and performance at scale.

Across both tracks

• Work directly with clients to translate business needs into production-ready technical solutions.
• Write clean, maintainable Python and SQL, and communicate technical decisions to both technical and non-technical stakeholders.

What We Are Looking For

We’re seeking someone who has:

• Fluency in English (mandatory); Dutch or French is a plus.
• Master’s degree in Computer Science, Engineering, or a related field.
• 2 to 5 years of relevant experience (or equivalent), in Data Engineer, AI Engineer or similar role
• Strong Python and SQL skills, with a focus on production-quality code.
• Familiarity with ETL/ELT principles or LLM orchestration frameworks, depending on your track
• Hands-on experience with cloud platforms (Azure, GCP, AWS, or Databricks) (Professional Certification is a plus).
• Strong communication and stakeholder engagement skills.

Why You Should Join Us

• Competitive Rewards: We offer a comprehensive benefits package including a competitive salary, phone & travel reimbursements, remote work allowance, and a Onefit membership discount.
• Fuel Your Day: Enjoy a delicious and healthy lunch provided daily with an extensive organic buffet.
• Weekly Unwind: Relieve stress and promote relaxation with a weekly massage session from our office physiotherapist.
• Centrally Located: Our Utrecht office is conveniently situated next to the station for easy commuting.
• Work-Life Balance: Maintain a healthy balance with a hybrid work environment that allows flexibility.
• Learning and Development: Join a team of passionate engineers, digital analysts and consultants always ready to help each other, providing opportunities to learn and collaborate with some of the best in the field.
• Culture of Celebration: We take pride in our work and celebrate successes together. Expect regular team events, fun activities, and a collaborative spirit that makes coming to work enjoyable.
• Career Growth Opportunities: We're committed to your professional development. With a focus on continuous learning and internal promotions, you'll have ample opportunities to advance your career at Artefact.

Join Us Now and Be Part of the Future

Artefact is growing fast, and this is the perfect opportunity to join our dynamic team and contribute to our continued success.

Key Responsibilities

• Enterprise Data Strategy & Client Engagement:
• Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives.
• Serve as a key technical advisor for clients, translating business requirements into innovative data solutions.
• Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles.
• Data Modeling, Design & Engineering:
• Design and optimize both logical and physical data models to support enterprise-wide systems.
• Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics.
• Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance.
• Technology Evaluation & Implementation:
• Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability.
• Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management.
• Team Leadership & Hands-On Management:
• Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects.
• Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues.
• Ensure project milestones are met through effective resource management and team coordination.
• Performance, Security & Best Practices:
• Optimize data storage, retrieval, and processing performance across various systems.
• Collaborate with security teams to enforce data governance, compliance, and privacy standards.
• Establish and promote best practices in data management, data engineering, and architecture design.
• Documentation & Reporting:
• Develop and maintain comprehensive documentation covering data architecture designs, data flows, integration processes, and project status.
• Provide regular updates and reports to both internal stakeholders and clients on project progress and system performance.

Required Qualifications

• Education:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Experience:
• 10+ years of experience in data architecture, data engineering, or related roles.
• Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach.
• Demonstrated track record of managing client relationships and leading technical teams.
• Technical Skills:
• Expertise in data modeling, data warehousing, and database design (both relational and NoSQL).
• Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies.
• Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks.
• Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting.
• Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc
• Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders.
• Proven team management and leadership abilities, including mentoring, coaching, and project management.
• Strong analytical and problem-solving skills with a proactive, detail-oriented approach.
• Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completio
• Relevant certifications such as Azure Solutions Architect, Certified Data Management Professional (CDMP), or similar credentials.

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

What you will be doing?

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact Morocco is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• 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 really skilled in the command line *nix
• 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

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 1500 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Certification in AWS and/or GCP
• Demonstrated experience with Databricks and Snowflake.
• Solid understanding of CI/CD principles and DevOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Strong project management skills and the ability to lead multiple projects simultaneously.
• Excellent problem-solving skills and the ability to work under tight deadlines.
• Strong communication and interpersonal skills.
• Experience in the leading large scale data engineering projects
• Excellent understanding of data architecture including data mesh, data lake and data warehouse.

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 Engineer Intern, your role will encompass:

● Supporting to conduct ambitious projects in the transformation of clients through data

● Collaborating with the consulting and data team to provide comprehensive services to clients

● Using your technical abilities to assist in the transformation of clients’ marketing department

Among your responsibilities as a Data Engineer Intern, you will be responsible for:

● Help securing delivery on projects with Data Engineer

● Communicating the success of projects among the company

● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs

● Ensuring that your solutions are bringing values to the client problematic

● Being a good team player, knowing your role and responsibility in the global ambition

● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring

Being a great tech person

● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives

● Researching and developing new technical approaches to address problems efficiently

● Sharing best practices and contributing to Artefact’s institutional knowledge

● Embodying Artefact’s values and inspiring others to do the same

● Experience working with Big Data technologies such as Hadoop, Spark, Kafka...

● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)

● Being able to adapt your solutions and approaches to technical environment (security, access, tools)

Qualifications :Education and Experience

● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields

● Solid knowledge of computer science, data processing and data architecture

● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

● Skills in Python, Linux, SQL, Spark, Hive

● BigQuery/ Redshift, Devops and Javascript is a plus

tl;dr

• From design to deployment, you manage your solution end-to-end, while also optimising the performance, security and scalability.
• Salary range: from 42K-80k euro per year in France, or equivalent in other countries.
• Our working language is in English and preferably the local language of the office.

The team

The most tech people of our Data & Consulting division, the title of "Data engineer" or "Software engineer" does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

Presenting in each and every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true.

Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

Desirable skills

• You are the master of several, or all the value chain's activities of the projects: cloud infrastructure, data pipeline implementations, data warehouse and data lake management, machine learning engineering, APIs, software testing, continuous integration and deployment;
• You have no problem popularizing technical terms or solutions to more business-oriented profiles, you can work in a team with very diversified profiles.
• You know how to prioritize your tasks, respect deadlines, and anticipate projects' risks.

... or soon you will be, contact us!

Why should you join us

• Artefact is the place to be: come and build the future of data and marketing
• Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.
• Action: We make things rather than telling people how to make them.
• Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.

Come join us!

Qui sommes-nous ?

Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.

Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.  

Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 1700 experts répartis dans 27 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…

En tant que stagiaire Ingénieur Logiciel chez Artefact, tu seras intégré(e) au sein d'une équipe de développement et tu participeras activement à la conception et à l'implémentation de solutions techniques robustes et scalables. Sous la supervision de ton tuteur, tes missions seront les suivantes :

• Architecture logicielle : Contribuer à la réflexion sur l'architecture de nos applications, en veillant à la performance et à la maintenabilité du code
• Déploiement et opérations (DevOps) :  automatisation des tests et des déploiements cloud avec des pipelines CI/CD et une infrastructure en tant que code (ex : Terraform), packaging d'applications dans des conteneurs (ex : Docker), implémentation d'outils d'observabilité des données (ex : DBT)
• Déploiement de ton logiciel sur le cloud : GCP, AWS ou Azure  
• Déploiement d’une ou plusieurs expertises techniques suivantes : développement logiciel, ingénierie analytique, ingénierie ML, architecture cloud ou ingénierie de sécurité et de fiabilité des sites 
• Veille technologique : Explorer de nouvelles technologies et outils pour optimiser nos méthodes de travail.

Profil recherché

• Formation : Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une spécialisation en génie logiciel, informatique, ou développement web et tu recherches ton stage de fin d’études à partir de Janvier 2026
• Compétences techniques :
• Maîtrise d'un ou plusieurs langages de programmation comme Python, Java, JavaScript (Node.js), Go ou Scala.
• Connaissance des principes de la programmation orientée objet et/ou de la programmation fonctionnelle.
• Expérience avec des bases de données SQL ou NoSQL.
• Une familiarité avec le Cloud (GCP, AWS, Azure) et les conteneurs (Docker, Kubernetes) est un atout.
• Connaissance des outils de versioning, en particulier Git.
• Qualités personnelles :
• Curiosité et proactivité : Tu as envie d'apprendre et de proposer de nouvelles idées.
• Rigueur et souci du détail : Tu es soucieux(se) de produire un code propre et de qualité.
• Esprit d'équipe : Tu es capable de travailler en collaboration et d'échanger avec des profils variés (Data Scientists, Consultants, etc.)
• Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux 

Le processus de recrutement : pour rejoindre Artefact, nous te proposons un processus de recrutement en quatre étapes durant lequel tu auras l’occasion de parler de ton expérience et d'en apprendre davantage sur Artefact et le poste d'ingénieur logiciel.

• Entretien RH
• Entretien #1 – Test de codage avec un Senior Software Engineer 
• Entretien #2 - Test d'architecture et de pipeline avec un Senior Software Engineer 
• Entretien #3 - Entretien de motivation avec le Directeur du pôle Data Engineering 

Processus d'onboarding : 

L'intégration comprend une formation sur des compétences transversales critiques telles que la gestion du temps, la communication orale et écrite. Un mentor te sera également attribué qui te guidera dans ta familiarisation avec la culture et les méthodes de travail de l'entreprise. De plus, tu auras l'opportunité de travailler sur des projets internes pour acquérir une expérience pratique et perfectionner tes compétences. De plus, tu auras la possibilité d'obtenir des certifications sur les fournisseurs cloud avant de travailler sur des missions clients. Ce processus d'intégration est conçu pour te doter des connaissances et des compétences nécessaires pour devenir un ingénieur logiciel performant chez Artefact.

Ce que nous offrons

• Un stage de 6 mois basé à Paris.
• Un environnement de travail stimulant, où tu seras encouragé(e) à prendre des initiatives.
• Un accompagnement par un mentor expérimenté pour te faire progresser rapidement.
• L'opportunité de travailler sur des projets variés et complexes.
• La possibilité d'être embauché(e) en CDI à la fin du stage.

Prêt à rejoindre l'aventure ?

Si tu te reconnais dans cette description et que tu souhaites mettre tes compétences au service de projets concrets et impactants, envoie-nous ta candidature !

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. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.

The team

One of the most versatile teams of Artefact, our growing Data & Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects.

Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis.

Mission

As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs.

Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.

Desirable skills

If:

• You have experience or have knowledge in data driven environment
  
• Master of Data collection and data visualisation tools, programming in SQL or Python are your jam;
  
• Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool…

Or you are interested in learning those skills and use it in your work, contact us!

Why should you join us

• Artefact is the place to be: come and build the future of data and marketing
• Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.
• Action: We make things rather than telling people how to make them.
• Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.

Come join us!

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

About the role ...

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing ...

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need ...

• Proven experience designing and implementing cloud architectures on Azure at scale
• Strong expertise in cloud security, networking, and compliance frameworks.
• Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.
• Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.
• Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.
• Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.
• Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric
• Strong leadership capabilities with experience managing technical teams and large-scale projects.
• Excellent verbal and written communication skills, including experience creating business-focused presentations.
• Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.
• Experience managing senior stakeholders and navigating client discussions effectively.
• Ability to mentor, coach, and develop technical teams in cloud engineering best practices.
• A track record of contributing to business growth through technical innovation and strategic initiatives.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders across various industries. Our Romandie office (Lausanne / Geneva) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and advanced data engineering.

Main Responsibilities

As a Data Engineer (GCP / dbt / Looker), you will join our team as an external consultant to support a high-stakes project for a major global player. You will be a key driver in the Business Insights & Analytics department, specifically supporting strategic network development initiatives.

You will focus on integrating and transforming data from planning systems into a robust GCP environment, enriching data visibility through Looker, and ensuring the long-term scalability of the data infrastructure. You will:

• Data Pipeline Development: Design and build scalable data pipelines using dbt and SQL on GCP (BigQuery). You will maintain existing pipelines, optimize for performance, and implement rigorous data historization.

• Business Collaboration: Work closely with international business teams to translate complex requirements into technical data solutions. You will participate in design workshops and advise on data structure and integration approaches.

• Reporting & Visualization: Support the development and enhancement of reports in Looker using LookML, ensuring that data is accessible and intuitive for end-users across global markets.

• Quality & Documentation: Deliver high-quality technical and functional documentation, conducting regular audits of data flows to ensure absolute accuracy and completeness.

• Proactive Advisory: Act as a technical partner, proposing innovative solutions to maximize the value extracted from raw data.

Candidate Profile

We are looking for an engineer first, consultant second – someone with a builder’s mindset and the ability to bridge the gap between technical architecture and business value.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

• Technical Skills: Proficiency in SQL and dbt is essential. You must have hands-on experience with Google Cloud Platform (BigQuery).

• Data Modeling: Solid understanding of ETL/ELT processes, pipeline architecture, and data modeling best practices.

• Visualization: Working knowledge of Looker and LookML for professional data visualization.

• Soft Skills: Strong business acumen, attention to detail, and the ability to simplify complex data flows for commercial stakeholders.

• Languages: Fluency in English is mandatory; French or German is a strong plus.

• Nice to Have: Familiarity with Anaplan data logic or experience with commercial/distribution data domains.

• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact sits uniquely at the crossroads of strategy and tech, giving you the chance to work on high-impact initiatives for prestigious global brands.

• Romandie Office Impact: As part of our growing Swiss team, you will have visibility and impact from day one, working within a dynamic, forward-thinking analytics environment.

• Cutting-Edge Stack: Work with a modern data stack (GCP, dbt, Looker) on projects that empower data-led decisions at a global scale.

• Culture of Doers: We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in the Lausanne / Geneva area.

Don’t worry if you don’t meet all the criteria! We value motivation and potential above all else. We’d love to hear from you.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

About the role ...

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing ...

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need ...

• Proven track record in architecting and deploying large-scale Google Cloud solutions
• Deep expertise in GCP security, networking, and compliance best practices (VPC Service Controls, IAM, Organization Policy)
• Designed end-to-end GCP environments that are highly available, secure, and cost-efficient—leveraging Google Kubernetes Engine (GKE), Cloud Run, Compute Engine, and Cloud SQL
• Defined global DR/HA strategies using Cloud Load Balancing, Cloud CDN, and automated failover with multi-region Bigtable/Spanner or persistent disk replication, achieving sub-hour RTOs for critical workloads
• Architected end-to-end data pipelines—built both streaming and batch ETL workflows using Pub/Sub, Dataflow (Apache Beam), and Dataproc to ingest high-throughput events into BigQuery for real-time insights.
• Designed scalable data models in BigQuery—implemented dimensional schemas with partitioning and clustering to achieve sub-second query times on petabyte-scale datasets.
• Orchestrated and scheduled workflows leveraging Cloud Composer (Airflow) and Workflows—added automated retries, data-quality validations, and alerting to guarantee pipeline reliability.
• Automated infrastructure lifecycle via Terraform and Cloud Build pipelines—implementing auto-scaling, patch management, and monitoring workflows that boosted operational efficiency
• Mastery of cost control in GCP: committed-use discounts, custom machine types, billing export analytics, and budget alerts, plus high-availability patterns for resilience
• Partnered with data teams to fine-tune architectures on Cloud Storage, BigQuery, Dataflow, and Dataproc—delivering performant, scalable analytics platforms
• Proven leadership in guiding cross-functional teams and steering complex, multi-phase cloud projects to on-time delivery
• Exceptional communicator, adept at crafting business-focused presentations and leading stakeholder workshops on GCP strategy
• Strong problem-solver, experienced in diagnosing and resolving architectural challenges across compute, data, and networking domains
• Skilled at stakeholder management, from technical deep dives with engineering teams to strategic discussions with C-level executives
• Mentorship & coaching: developing cloud engineering talent through hands-on training, code reviews, and best-practice evangelism
• Business growth driver, recognized for leveraging GCP innovations to unlock new revenue streams and streamline operations

Tech Lead 

Who we are

Artefact is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 1500 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

JOB SUMMARY

As a Tech Lead, you will be responsible for leading a team of developers, ensuring the quality and efficiency of software development projects. You will oversee the technical aspects of software development, provide mentorship, and collaborate with cross-functional teams to deliver high-quality solutions. Your role is pivotal in driving the technical vision, ensuring best practices, and fostering a culture of continuous improvement.

KEY RESPONSIBILITIES

Technical Leadership

• Lead the technical planning, execution, and successful delivery of software projects.
• Make architectural decisions and guide the team in the development of scalable, maintainable, and robust solutions.
• Stay updated with emerging technologies and industry trends to drive innovation.

Team Management

• Provide technical mentorship and guidance to developers, fostering professional growth and development.
• Conduct code reviews to ensure adherence to best practices, coding standards, and quality.
• Facilitate team collaboration, ensuring effective communication and coordination among team members.

Project Management

• Collaborate with project managers and stakeholders to define project requirements, scope, and timelines.
• Monitor project progress, identify potential risks, and implement mitigation strategies.
• Ensure timely delivery of projects within budget and quality standards.

Technical Expertise

• Design, develop, and maintain complex software systems and applications.
• Troubleshoot and resolve technical issues, ensuring system reliability and performance.
• Optimize and refactor existing codebases to improve efficiency and maintainability.

Collaboration and Communication

• Work closely with product managers, designers, and other stakeholders to align technical solutions with business goals.
• Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
• Promote a collaborative and inclusive team environment.

QUALIFICATIONS

Education

• Bachelor’s degree in computer science, Engineering, or a related field. Advanced degree preferred.

Experience

• 5+ years of experience in software development, with at least 2 years in a leadership role.
• Proven experience in leading and managing development teams.
• Strong background in software architecture and design patterns.

Technical Skills

• Proficiency in programming languages such as Java, Python, JavaScript, or others relevant to the tech stack.
• Experience with front-end and back-end development frameworks.
• Knowledge of cloud platforms (AWS, Azure, Google Cloud) and DevOps practices.
• Familiarity with Agile methodologies and tools (e.g., Jira, Trello).
• Preferable previous experience of working in the Insurance industry
• Expertise in Azure, SQL Server, and GraphQL is essential.

Soft Skills

• Excellent problem-solving and analytical abilities.
• Strong leadership and mentoring skills.
• Effective communication and interpersonal skills.
• Ability to manage multiple priorities and work under pressure.

Preferred Qualifications

• Experience in microservices architecture and containerization (Docker, Kubernetes).
• Knowledge of database management systems (SQL, NoSQL).
• Experience with CI/CD pipelines and automated testing frameworks.
• Contributions to open-source projects or active participation in the tech community.

Working Conditions

• This position may require occasional travel.
• Hybrid work arrangement: two days per week working from the office near St. Paul’s  

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Qui sommes-nous ?

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

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

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

Vos missions

Cadrage et conception technique

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

Leadership et supervision de la livraison

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

Management et mentorat

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

Votre mindset

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

Votre profil

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

Process de recrutement

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

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

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 1 800 collaborateurs. 

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

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

Vos missions :

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

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

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

 Votre mindset :

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

Votre profil :

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

Process de recrutement : 

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

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

Who we are

• Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.
• Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.
• Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.

What you will be doing

As a Junior Software Engineer in our London office, your role will encompass:

• working on engineering projects together with senior team members
• training and certification to enhance your skills in software engineering, data science, and data architecture.

Qualifications

Necessary education and experience

• Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms.
• Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code.
• Data Skills: Experience with SQL for querying relational databases.
• Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps.
• Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.
• Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members.

Desirable experience

• Cloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).
• Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.
• Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.

Hybrid working pattern 

Who we are

Artefact is a new generation of a data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ client base around the globe.

We have over 2000 employees across 34 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

• Key Responsibilities

  • Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
  • Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
  • Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
  • Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
  • Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
  • Develop and enforce best practices in data governance, security, and compliance within the organization.
  • Optimize data retrieval and develop dashboards and reports for business teams.
  • Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

   

  Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
  • Extensive experience with cloud services such as Azure Data Factory and AWS Glue.
  • Demonstrated experience with Databricks and Snowflake.
  • Solid understanding of CI/CD principles and DevOps practices.
  • Proven leadership skills and experience managing data engineering teams.
  • Strong project management skills and the ability to lead multiple projects simultaneously.
  • Excellent problem-solving skills and the ability to work under tight deadlines.
  • Strong communication and interpersonal skills.
  • Excellent understanding of data architecture including data mesh, data lake and data warehouse.

  Preferred Qualifications:

  • Certifications in Azure, AWS, or similar technologies.
  • Certifications in Databricks, Snowflake or similar technologies
  • Experience in the leading large scale data engineering projects

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

About the role ...

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing ...

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need ...

• Proven experience designing and implementing cloud architectures on Azure at scale
• Strong expertise in cloud security, networking, and compliance frameworks.
• Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.
• Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.
• Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.
• Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.
• Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric
• Strong leadership capabilities with experience managing technical teams and large-scale projects.
• Excellent verbal and written communication skills, including experience creating business-focused presentations.
• Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.
• Experience managing senior stakeholders and navigating client discussions effectively.
• Ability to mentor, coach, and develop technical teams in cloud engineering best practices.
• A track record of contributing to business growth through technical innovation and strategic initiatives.

Join Artefact Belgium: Lead the Future of Generative AI and Agentic systems

Are you an experienced AI engineer with a passion for generative AI, agentic systems, and technical leadership? Artefact Belgium is looking for a Tech Lead – Gen AI to own the technical vision of our AI projects, mentor a team of engineers, and drive cutting-edge solutions for our clients. If you have 6-7+ years of experience in AI and consulting, combined with a strong sense of technical ownership and a talent for enabling others, we'd love to hear from you.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our team in Belgium specializes in GenAI and agentic AI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

Who You Are

• Technical leader: You naturally set the bar for engineering quality. You make architectural decisions confidently, lead by example, and know when to roll up your sleeves and code alongside your team.
• Mentor and enabler: You thrive on helping others grow. You enjoy guiding junior and medior engineers, establishing best practices, and building a team culture of technical excellence.
• Client-facing expert: You are comfortable being the primary technical point of contact for clients — translating complex AI concepts into business value and building trusted relationships.
• Pragmatic innovator: You keep a close eye on the state of the art in generative AI and know how to apply emerging techniques to real-world, production-grade challenges.
• Autonomous and accountable: You take ownership of outcomes,  from architecture to delivery, and proactively flag risks and opportunities throughout the project lifecycle.

What You Will Do

• Own the technical vision: Define and drive the technical architecture of AI-powered solutions across client engagements, including RAG systems, agentic AI architectures, multi-modal applications, and multi-agent workflows.
• Lead by example: Stay hands-on : contribute to critical parts of the codebase, conduct code reviews, and set engineering standards that the team rallies around.
• Mentor a small team: Guide a team of 2-6 engineers and data scientists, helping them grow technically and professionally. Contribute to team-building efforts, including involvement in hiring and onboarding.
• Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
• Engage and advise clients: Serve as the primary technical lead in client interactions — translating business needs into AI solutions, presenting technical choices, and building long-term trust throughout project lifecycles.
• Shape the AI roadmap: Identify new use cases, optimize performance and contribute to the development of internal AI tools and products.
• Build scalable infrastructure: Oversee deployment and maintenance of AI systems, including model serving, API development, vector databases, and orchestration frameworks.
• Contribute to thought leadership: Publish insights, present at conferences, and drive internal knowledge sharing on emerging AI technologies, agent frameworks, and best practices.

What You Bring

• A degree in computer science, engineering, mathematics, or a related field.
• At least 6-7 years of professional experience in AI, with a strong focus on Machine Learning, generative AI.
• Proven experience as a technical lead or senior engineer, with a track record of owning architecture decisions and guiding engineering teams.
• Consulting experience, including managing client relationships and delivering tailored, production-grade solutions.
• Deep expertise in modern generative AI techniques including RAG systems, agentic workflows, multi-agent architectures, evaluation frameworks, and production deployment.
• Strong programming skills in Python and extensive experience with AI frameworks and cloud providers.
• Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Proficiency in English, Dutch, or French is required; additional languages are a plus.
• You must be eligible to work in Belgium.

What We Offer

• Competitive compensation aligned with your expertise and experience.
• A genuine technical leadership role with real ownership : architecture decisions, team direction, and client impact.
• High-impact opportunities to work with state-of-the-art generative AI technologies and solve real-world challenges.
• A collaborative, inclusive workplace with access to global expertise through Artefact's international network.
• A chance to shape the direction of a fast-growing GenAI team within a leading global consulting firm.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value technical leadership, a drive to innovate, and the ability to bring out the best in others. If you're ready to own the technical direction of cutting-edge AI projects and make a tangible impact, we'd love to hear from you.

Who we are

Artefact is a new generation of a data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ client base around the globe.

We have over 2000 employees across 16 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Our Opportunity

Responsibilities

We are looking for a Jr. Data Engineer to join our dynamic team. This role is ideal for someone with understanding of data engineering and a proven track record of working on data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organization.
• Optimize data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 2+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Experience with cloud services such as Azure Data Factory and AWS Glue.
• Excellent problem-solving skills and the ability to work under tight deadlines.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• • Certifications in Azure, AWS, or similar technologies.
  • Certifications in Databricks, Snowflake or similar technologies
  • Experience in the leading large scale data engineering projects

Why you should join us

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

tl;dr

• From design to deployment, you manage your solution end-to-end, while also optimising the performance, security and scalability.
• Our working language is in English and preferably the local language of the office.

The team

The most tech people of our Data & Consulting division, the title of "Data engineer" or "Software engineer" does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

Presenting in each and every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true.

Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

Desirable skills

• You are the master of several, or all the value chain's activities of the projects: cloud infrastructure, data pipeline implementations, data warehouse and data lake management, machine learning engineering, APIs, software testing, continuous integration and deployment;
• You have no problem popularizing technical terms or solutions to more business-oriented profiles, you can work in a team with very diversified profiles.
• You know how to prioritize your tasks, respect deadlines, and anticipate projects' risks.

... or soon you will be, contact us!

Why should you join us

• Artefact is the place to be: come and build the future of data and marketing
• Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.
• Action: We make things rather than telling people how to make them.
• Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.

Come join us!