Senior Software Engineer H/F

collectivite

Important information

Contract type:

Permanent contract

Salary:

Salary according to profile

Location:

Paris, France

Starting date:

4 to 8 weeks

Work mode:

Onsite, Hybrid

Published on:

6 May 2026

What they need

Context

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.

Missions

• Work on all aspects of data engineering in multidisciplinary client teams.

• Maintain good relationships with clients regarding software engineering tasks.

• Supervise and coach more junior profiles.

• Use data as a tool to solve real-world problems across various sectors (e.g., retail, luxury, telecom, healthcare).

• Collaborate in an agile team composed of data experts and non-technical people.

• Develop and deploy software to the cloud (GCP, AWS, or Azure).

• Implement software with Python and SQL to create applications and data transformations.

• Apply DevOps principles: automate tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (using Terraform).

• Package applications in containers (using Docker).

• Implement enablers for data observability (using DBT).

• Develop expertise in one or more of the following areas: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering.

Tools & Environment

• Programming languages: Python, SQL

• Cloud platforms: Google Cloud Platform (GCP), AWS, Azure

• DevOps tools: CI/CD pipelines, Terraform, Docker

• Data observability: DBT

• Databases: PostgreSQL, MySQL, SQLServer, managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB)

• Indexation systems: ElasticSearch, Vespa

• Big data and microservices technologies: Spark, Beam, Airflow, Docker (Kubernetes is an asset)

Working Conditions

• Location: Paris office, 9th district

• Language requirements: Good level of English and fluent French

• Recruitment process:

  • 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

• Onboarding: One-week onboarding program covering consulting culture, project management, and company overview

• Benefits:

  • Central Paris location

  • Diverse team of talents (Data consultants, Data analysts, Data scientists, Software engineers)

  • Fast career opportunities and regular training on technology and consulting skills

  • Dedicated mentor for professional development

  • Culture based on innovation, collaboration, and action

• Equal opportunity employer with commitment to non-discrimination across all candidate qualities and backgrounds

Profile wanted

1. 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, ...)
2. Your studies involved software engineering, and you have experience in DevOps / DevSecOps
3. You know how to set up and deploy ML models provided by data scientists
4. You have a good knowledge of Python
5. You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
6. Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, ...) and indexation systems (ElasticSearch, Vespa) is a plus
7. You are familiar or have already used cloud technologies such as GCP or AWS
8. You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
9. You can popularize technical terms and solutions to business oriented profiles and work in a team with very diversified profiles
10. You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
11. You can manage a team, coach juniors, identify their axes of progress
12. You can anticipate risks in projects from the design phase
13. You have a good level of English and you are fluent in French to work in the Parisian office