Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc
Open 6 months, first seen by us 204 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Job title: Junior Data Engineer - Casablanca
Design and build client data solutions end to end, from concept to implementation
Deploy machine learning models provided by data scientists
Build REST APIs, pipelines and cloud infrastructure across the data value chain
Optimise performance and scalability of solutions
Coach colleagues and share knowledge through training and events
You’ll take ownership of the solution from start to end.
You know how to set up and deploy ML model provided by our data scientists
infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations
while also optimising the performance and scalability
You will coach others
Your studies involved software engineering, and you have experience in DevOps / DevSecOps
You have a good knowledge of Python
You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
You are really skilled in the command line *nix
You are familiar or have already used cloud technologies such as GCP or AWS
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 11,039 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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)
- 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 !
- 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 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
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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).
Your responsibilities:
Your mindset
Profile :
Why join us :
Come join us !
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Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc
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