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
Design and develop data pipelines and ETL/ELT processes
Build and maintain cloud-based data architectures
Create and optimize data foundations for AI use cases
Ensure data quality, security and governance
Optimize data workflows for performance and scalability
Designing and developing robust data pipelines and ETL/ELT processes.
Building and maintaining cloud-based data architectures.
Creating and optimizing data foundations for AI use cases.
Ensuring data quality, security, and governance best practices.
Optimizing data workflows for performance and scalability.
Strong proficiency in SQL and Python.
Experience with cloud platforms (GCP, AWS, or Azure).
Knowledge of modern data stack technologies (e.g., BigQuery, Snowflake, Databricks).
Experience building data pipelines using orchestration tools such as Airflow.
Familiarity with data modeling, data warehousing, and software engineering best practices.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
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Tech Skills - Strong proficiency in SQL and Python. - Experience with cloud platforms (GCP, AWS, or Azure).
- Strong proficiency in SQL and Python. - Experience with cloud platforms (GCP, AWS, or Azure). - Knowledge of modern data stack technologies (e.g., BigQuery, Snowflake, Databricks).
- Experience with cloud platforms (GCP, AWS, or Azure). - Knowledge of modern data stack technologies (e.g., BigQuery, Snowflake, Databricks). - Experience building data pipelines using orchestration tools such as Airflow.
- Knowledge of modern data stack technologies (e.g., BigQuery, Snowflake, Databricks). - Experience building data pipelines using orchestration tools such as Airflow. - Familiarity with data modeling, data warehousing, and software engineering best practices.
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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.
Artefact is a global data and AI consulting company that helps organizations transform data into business impact. We combine deep expertise in data, AI, and digital marketing to deliver innovative solutions for leading brands across industries. Our teams work at the intersection of technology, strategy, and business to create measurable value for our clients.
As a Data Engineer, you will design, build, and maintain scalable data platforms that power analytics, AI, and business decision-making. Working closely with Data Scientists, Analytics Engineers, and business stakeholders, you will ensure that data is accessible, reliable, and ready to generate impact.
Key responsibilities include:
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Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc
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