maltem Paris

About the Company

Depuis 20 ans, maltem permet aux organisations d'atteindre leurs objectifs grâce à différents services allant de la stratégie aux opérations. maltem a été fondé en 2001 par Jean-Luc Clamen et Pascal Mennesson. Le groupe couvre un large champ de compétences numériques : Conseil, Data Factory, Technologie Agile, Design Experience, et Cyber Sécurité avec une expertise spécifique dans les domaines de la banque/assurance, de l'énergie, et des médias. maltem dispose d'une forte expérience en informatique à travers sa filiale Omnilog et ses centres de livraison situés dans le monde entier. Le groupe rassemble 1 100 collaborateurs dans 12 pays, pour un chiffre d'affaires de 100 millions d'euros. Positionné comme un champion de la Tech for good, maltem est convaincu que le numérique est un accélérateur d'évolution et que l'engagement sociétal n'est plus une option. Nous rejoindre, ce n'est pas seulement obtenir un nouvel emploi, c'est façonner un avenir durable. Rendez-nous visite sur https://www.maltem.com/

Listed Jobs

Company Name

maltem Paris

Job Title

Data Analyst

Job Description

Job title: Data Analyst Role Summary: Leverage Microsoft BI technologies to design, evolve, and maintain enterprise decision‑making solutions. Collaborate cross‑functionally with business units (Finance, HR, Sales, Recruitment) to translate data needs into robust BI architectures and actionable insights. Expectations: Deliver high‑quality, scalable BI solutions that drive operational excellence and KPI monitoring. Ensure ongoing performance, reliability, and continuous improvement of BI environments while meeting project timelines and stakeholder requirements. Key Responsibilities: - Model, integrate, and maintain comprehensive BI solutions (SSIS, SQL Server, Power BI). - Design scalable, documented data architectures and semantic models. - Develop, deploy, and sustain Power BI reports and dashboards. - Optimize query performance and semantic model efficiency (DAX, MDX, performance tuning tools). - Support ongoing BI operations, ensuring continuity and improvement. - Analyze and refine KPIs for business units (customer relation, telecom, ticketing). - Partner with technical and business teams to capture requirements and propose solutions. Required Skills: - 5+ years BI experience in a Microsoft environment (SQL Server, SSIS, SSAS, SSRS, Power BI). - Proficient with Power BI, DAX Studio, Tabular Editor, Measure Killer, execution plan analysis. - Strong SQL Server management and Azure data services (Managed Instance, Data Factory). - Familiarity with SSAS MDX, SSRS, Power BI Administration, Report Builder, Microsoft Fabric (Lakehouse, Dataflow Gen2, Notebook). - Excellent communication, analytical rigor, and autonomous prioritization. - Ability to work collaboratively in a demanding, cross‑functional setting. - Professional English proficiency is an asset. Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field. - Relevant Microsoft certifications (e.g., Microsoft Certified: Data Analyst Associate, Azure Data Engineer Associate) are highly desirable.

Loire-atlantique, France

Hybrid

Mid level

03-11-2025

Company Name

maltem Paris

Job Title

Full Stack Engineer

Job Description

**Job Title** Full Stack Engineer **Role Summary** Lead the industrialisation and continuous improvement of a cloud‑based AI platform that automates public tender responses. Drive code quality, reliability, deployment automation, and feature delivery while collaborating with cloud, data, and AI teams in an agile environment. **Expectations** ● Deliver production‑ready code with high reliability and scalability. ● Master Azure cloud services (Container Apps, Cognitive Services, Machine Learning, VNET, DNS, certificates). ● Deploy and maintain CI/CD pipelines and infrastructure as code. ● Communicate effectively with cross‑functional teams and contribute to sprint planning. **Key Responsibilities** 1. Refactor existing codebase to improve maintainability and performance. 2. Strengthen platform resilience and automate deployments using Docker, Terraform, GitLab CI/CD, and Azure Container Apps. 3. Develop new features and integrate services per business user requests. 4. Perform corrective and evolutionary maintenance throughout the project lifecycle. 5. Participate in agile ceremonies (stand‑ups, retrospectives, PI planning) and coordinate tasks. 6. Work closely with Cloud, Data, and AI specialists to ensure technical coherence and optimal component performance. **Required Skills** - **Programming Languages:** Node.js, Python. - **Databases:** PostgreSQL, Redis. - **DevOps & Cloud:** Azure (Container Apps, Cognitive Services, Machine Learning), Docker, Terraform, GitLab CI/CD, VNET, DNS, certificate management. - **IDE:** Visual Studio Code. - **Version Control:** Git. - **Soft Skills:** Strong analytical thinking, adaptability, teamwork, autonomy, and a passion for innovation. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. - Relevant Azure developer or architecture certifications (e.g., Microsoft Certified: Azure Developer Associate) preferred.

Occitanie, France

Hybrid

05-11-2025

Company Name

maltem Paris

Job Title

Machine Learning Engineer

Job Description

**Job Title** Machine Learning Infrastructure Engineer **Role Summary** Design, implement, and document robust, reproducible ML pipelines and simulation libraries to support AI research and large‑scale GPU training. Ensure best practices in testing, CI/CD, version control, and modular code design while facilitating knowledge transfer to researchers and data scientists. **Expectations** - Deliver highly reliable and efficient code and pipelines that meet performance, reproducibility, and maintainability standards. - Foster collaboration with AI, data science, and climate experts while independently managing end‑to‑end infrastructure projects. - Communicate clearly with international teams in English and maintain written French proficiency for internal documentation. **Key Responsibilities** 1. Refactor and document the existing Python library for simulation and model analysis. 2. Build end‑to‑end pipelines for data simulation, extreme event detection, model training, and evaluation. 3. Establish scientific development best practices: unit/integration testing, continuous integration, modular architecture, and comprehensive documentation. 4. Optimize multi‑user GPU cluster utilization for large‑scale training jobs. 5. Monitor and improve code performance and reliability across research workflows. 6. Train and support researchers on tool usage, development practices, and compute resource exploitation. 7. Maintain code quality, traceability, and ongoing maintenance of deployed pipelines. **Required Skills** - Advanced Python development in a scientific/data/ R&D environment. - Strong grasp of testing frameworks, CI/CD pipelines, version control (Git), and dependency management. - Experience designing and deploying ML training and inference pipelines. - Knowledge of GPU computing, performance tuning, and parallel processing. - Proficiency with Docker, Git, and experiment tracking tools. - Excellent communication, collaboration, and pedagogical abilities. - Fluent in English; written and oral French at a professional level. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related field. - Relevant certifications (e.g., Docker Certified Associate, TensorFlow Developer Certificate) are a plus.

Île-de-france, France

Hybrid

05-11-2025

Company Name

maltem Paris

Job Title

Software Engineer

Job Description

Job Title: Software Engineer (DevSecOps / SRE) Role Summary: Design, implement, and maintain secure, automated, and highly available cloud-native environments. Drive DevSecOps practices across development, operations, testing, and business teams, ensuring efficient CI/CD pipelines, observability, and performance. Expectations: - Constantly enhance DevSecOps workflows and tooling. - Facilitate cross‑functional collaboration for integration, performance, and reliability. - Deliver robust, secure, and scalable cloud and container infrastructures. Key Responsibilities: - Provide and evolve DevSecOps tools, best practices, and standards. - Mentor project teams (developers, ops, testers, BAs) on integration, performance, and reliability. - Administer and monitor RHEL, Azure, OpenShift/Kubernetes environments. - Automate deployment pipelines and industrialize CI/CD workflows. - Implement observability solutions (monitoring, metrics, alerting) to guarantee service availability. - Investigate incidents, monitor performance, and propose continuous improvement plans. - Produce clear technical documentation (architecture, operability, performance, supervision). Required Skills: - 4+ years of DevOps / SRE / Cloud Engineering experience. - Proficiency with Kubernetes/OpenShift, Azure, Terraform, GitHub, Jenkins, Ansible. - Experience with observability stacks: Grafana, Prometheus, Dynatrace, Kibana. - Familiarity with performance testing tools: JMeter, Postman, Gatling. - Strong Linux (RHEL) knowledge and Infrastructure as Code practices. - Solid understanding of DevSecOps principles, SRE concepts, security, and performance. - Collaborative mindset, detail‑oriented, and supportive of end‑user teams. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Information Technology, or related field. - Relevant certifications (e.g., Azure, Kubernetes, Terraform, DevOps Engineer) are preferred.

Nouvelle-aquitaine, France

Hybrid

Junior

06-11-2025