A
Data & Software Engineer (m/f/d)
Artefact
Paris · On-site Contract 2w ago
About the role
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
- From design to deployment, you manage your solution end-to-end, while also optimising the performance, security and scalability.
- 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!
Skills
APIsAWSCloudCI/CDData LakeData PipelineData WarehouseGoogleMLOpsMachine LearningSecurity
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