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
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 Artefact?
- 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...
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