Data Engineering Manager

Casablanca, Casablanca-Settat, Morocco

Décryptage du poste par Postule AI

Résumé du rôle

Artefact is seeking a Data Engineering Manager to lead and innovate within a multidisciplinary team of consultants, data scientists, and engineers. This role combines management, technical delivery, project leadership, and consulting to drive data-driven solutions for clients. The ideal candidate has 3+ years of experience in data engineering within a consulting environment, deep technical expertise in Python, cloud platforms (GCP/Azure), and data technologies (Spark, Kafka, Docker), and fluency in French and English.

Exigences clés (estimation)

Manage and coach a team of engineers, interns, and juniors, fostering skill development and technological monitoring.
Own end-to-end solution delivery, from design to deployment, working with cross-functional teams to meet client needs.
Participate in pitches, secure deals, and guide clients through data and digital transformation initiatives.
Select and implement suitable technical stacks based on client requirements and optimize organizational processes.
Build infrastructure, platforms, and data pipelines; apply machine learning models; set up REST APIs and continuous deployment.

Compétences

In-depth knowledge of Python and strong interest in DevOps practices.Proficiency with cloud technologies (GCP or Azure) and data technologies (Spark, Beam, Docker, Kubernetes).Experience with data bus systems like Kafka or PubSub and indexation systems like ElasticSearch or Vespa.Ability to communicate technical concepts to non-technical stakeholders and work effectively in diverse teams.Minimum 3 years of experience developing data-driven solutions within a consulting firm.Fluency in French (for Moroccan office) and working command of business English.Master's degree in Software Engineering, Machine Learning, Mathematics, or Computer Science (preferred).Capacity to foresee project risks and mitigate them through strategic technological choices.

Niveau estimé

This role requires a minimum of 3 years of experience developing and implementing data-driven solutions within a consulting firm, placing it in the 3-5 years experience range. The management responsibilities and technical depth suggest mid-level seniority.

Attributs détectés par l’IA (si absents de l’offre)

Type de poste: CDI
Mode de travail: Sur site
Niveau d'expérience: 3–5 ans
Fonction: Data / BI
Secteur: Informatique / IT
Niveau d'études: Master / Bac+5
Langues: Français, Anglais

Cette analyse a été générée automatiquement par Postule AI à partir de l'offre.

Introduction to the Position

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, carry out technological monitoring, and take part in technical training given by 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, and strategic planners to identify 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 to forge ties with clients while accompanying and guiding them in their data and digital transformation.
Consulting: You are adept at choosing and setting up the most suitable technical stack based on client 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 master's 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 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 REST APIs, tests and continuous deployment).
You have in-depth knowledge of Python, strong interest for DevOps, and familiarity 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 systems 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 project 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 (BigQuery, 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.

Recruitment Process

3 interviews:

HR Interview
Oral business case
Fit interview

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .