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 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). 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 Requirements 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 Benefits 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 !
