Introduction
Artefact is looking for Data Engineering Managers to innovate, build, train and communicate with a team made up of consultants, data scientists, creatives and engineers to identify client needs and define innovative solutions.
Your Role
- Management : You work within a team where mutual aid and development of competences are key, you coach interns and juniors, you carry out technological monitoring, you take part in technical training given by our partners such as Google or Azure. - Delivery: You are full owner of the front to back solution, responsible for devising, implementing and deploying it. You work within a team made up of engineers, consultants, data scientists, strategic planners to identify your client needs and define innovative solutions. - Project: You are a key actor to company success participating in pitches and securing deals. Your technical capacities will allow you forge ties with your clients while accompanying and guiding them in their data and digital transformation. You will contribute to making Artefact an essential business partner. - Consulting: You are adept at choosing and setting up the most suitable technical stack based on your client's needs. You have a critical mindset to understand and optimize the organisational functioning of large firms.
Your Team
Data Engineering
Your Qualifications
- Ideally you hold a masters in Software Engineering or possibly machine Learning, mathematics, or computer science. - In the moroccan office, you have to be fluent in french to work on projects with our french-speaking clients. - Minimum three years of experience developing and implementing data driven solutions within a consulting firm - You have the capacity to actively participate in all the project value chain ( building infrastructure and platforms, collecting data, machine learning application models, setting up API’s REST, tests and continuous deployment) - You have in-depth knowledge of Python, you have a strong interest for DevOps, you’re familiar with Cloud technologies such as GCP or Azure. You master data technologies like Spark or Beam, with previous experience of Docker (Kubernetes is a plus) - You’re a ninja of the use and exploitation of data bus like Kafka or PubSub - You have practiced indexation system such as ElasticSearch and Vespa. Ideally, you have implementation experience of a LETOR - You have a proven capacity to vulgarize technical terms and solutions for those coming from the business field, you are a key player in a diverse team - You can foresee projects risks and mitigate them through your technological choices - You have a working command of business English
Benefits
- Cutting edge stack : Python,Kubernetes, Spinnaker, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker Wide variety of projects : - Datalake set up - Chatbot building - Industrialisation of machine learning algorithms - Define the data strategy - Young and challenging environment of skilled engineers , grow your skills thanks to our mentoring program Come join us !
Recruitment Process
3 interviews : - HR Interview - Oral business case - Fit interview
Artefact est une société internationale spécialisée dans le déploiement de technologies d’IA et de solutions data dont la mission est d’accélérer l'adoption des données et de l'IA afin d’avoir un impact positif sur les individus et les organisations. Spécialiste en transformation data et en digital & data marketing, Artefact transforme la donnée en impact business et délivre des résultats tangibles sur l’ensemble de la chaîne de valeur des entreprises. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, allie le meilleur de l’expertise technologique et de l’excellence opérationnelle, permettant ainsi à ses clients de devenir des champions de l’IA et d’atteindre leurs objectifs business de façon dédiée et efficace. La raison d’être d’Artefact “We accelerate data and AI adoption to positively impact people and organizations” s’inscrit dans une vision plus large que l’entreprise souhaite porter en façonnant un futur dans lequel l'IA est non seulement un outil puissant, éthique et transparent mais également adapté aux besoins des individus et des entreprises.