Back to jobs

Manager Data Engineer - Casablanca

Reads like a Data Leadership role: running a data team.

Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc

Open 6 months, first seen by us 204 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Lead design and delivery of modern cloud data platforms

  • Mentor and coach a team of Data Engineers

  • Act as trusted advisor to clients on data transformation

  • Lead technical workshops and architecture discussions

  • Define scalable architectures aligned with business needs

From the employer’s posting
Lead the design and delivery of modern cloud data platforms.
Lead, mentor and coach a team of Data Engineers.
Act as a trusted advisor for clients throughout their data transformation journey.
Lead technical workshops and architecture discussions.
Define scalable architectures aligned with business and technical requirements.

What you’ll bring

All qualifications

Core experience

  • 7+ years of experience in Data Engineering
  • Proven experience leading Data Engineering teams
  • Excellent knowledge of Python and SQL
  • Experience with cloud ecosystems (GCP, AWS and/or Azure)
  • Experience with Spark, Beam or Databricks

Preferred experience

  • 7+ years of experience in Data Engineering.
Qualification wording
7+ years of experience in Data Engineering
Proven experience leading Data Engineering teams.
Excellent knowledge of Python and SQL.
Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure.
Experience with distributed data processing technologies including Spark, Beam or Databricks.
7+ years of experience in Data Engineering.
Education & alternatives
Preferred Qualifications - Engineering degree or Master's in Computer Science, Data Engineering or related field. - 7+ years of experience in Data Engineering.
Apply at Artefact

Posting record

Report an error

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.

Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
123
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 204

Up longer than most. Similar jobs usually come down between day 7 and day 54.

Well past Artefact’s usual: its jobs come down by about day 36.

From 8,098 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.

Artefact is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • Docker
  • Kafka
  • Kubernetes
  • Redis
  • Redshift
  • Spark
  • Terraform
  • Airflow
  • GCP
Where the posting names them
- Strong experience designing and implementing modern Data Platforms. - Excellent knowledge of Python and SQL. - Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure.
Our Tech Stack - Python - SQL
- Python - SQL - Apache Spark
- Excellent knowledge of Python and SQL. - Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure. - Experience with distributed data processing technologies including Spark, Beam or Databricks.
- Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, Cloud Storage) - AWS (EKS, Lambda, Glue, RDS, Redshift) - Microsoft Azure (Databricks, Data Factory, Synapse)
- AWS (EKS, Lambda, Glue, RDS, Redshift) - Microsoft Azure (Databricks, Data Factory, Synapse) - Docker
- Airflow / Composer - Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, Cloud Storage) - AWS (EKS, Lambda, Glue, RDS, Redshift)
- Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure. - Experience with distributed data processing technologies including Spark, Beam or Databricks. - Expertise with orchestration tools such as Airflow or Composer.
- Experience building CI/CD pipelines and Infrastructure as Code. - Solid understanding of Docker and Kubernetes. - Good knowledge of DevOps, DataOps and MLOps practices.
- Microsoft Azure (Databricks, Data Factory, Synapse) - Docker - Kubernetes
- Redis - Kafka Why Join Artefact Casablanca?
- Docker - Kubernetes - Terraform
- Ansible - Redis - Kafka
- SQL - Apache Spark - Airflow / Composer
- Kubernetes - Terraform - GitHub Actions / GitLab CI
- Experience with distributed data processing technologies including Spark, Beam or Databricks. - Expertise with orchestration tools such as Airflow or Composer. - Experience building CI/CD pipelines and Infrastructure as Code.

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

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.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

 

Who are we?

Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation.

With 1,700+ experts across 25+ offices worldwide, Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value.

At Artefact Casablanca, you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship.

If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you.

Your Role

As a Manager Data Engineering, you will play a strategic role in delivering large-scale Data & AI transformation programs while leading and growing high-performing engineering teams.

You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms.

Your Responsibilities

Lead Data Engineering Projects

  • Lead the design and delivery of modern cloud data platforms.
  • Define scalable architectures aligned with business and technical requirements.
  • Ensure engineering excellence, code quality, security and performance.
  • Drive best practices across Data Engineering, DevOps and MLOps.

Manage & Grow Teams

  • Lead, mentor and coach a team of Data Engineers.
  • Support consultants in their technical development and career progression.
  • Foster a collaborative, high-performance and knowledge-sharing culture.
  • Participate in recruitment, onboarding and capability building.

Partner with Clients

  • Act as a trusted advisor for clients throughout their data transformation journey.
  • Understand business challenges and translate them into scalable technical solutions.
  • Lead technical workshops and architecture discussions.
  • Communicate effectively with both technical and executive stakeholders.

Drive Innovation

  • Stay at the forefront of Cloud, Data Engineering and AI technologies.
  • Promote engineering best practices and reusable frameworks.
  • Contribute to Artefact's internal communities, technical events and innovation initiatives.
Your Profile

We're looking for passionate leaders who combine strong technical expertise with excellent communication and people management skills.

Technical Skills

  • Strong experience designing and implementing modern Data Platforms.
  • Excellent knowledge of Python and SQL.
  • Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure.
  • Experience with distributed data processing technologies including Spark, Beam or Databricks.
  • Expertise with orchestration tools such as Airflow or Composer.
  • Experience building CI/CD pipelines and Infrastructure as Code.
  • Solid understanding of Docker and Kubernetes.
  • Good knowledge of DevOps, DataOps and MLOps practices.
  • Experience with relational and cloud-native databases.
  • Understanding of API development and microservices architecture.

Leadership Skills

  • Proven experience leading Data Engineering teams.
  • Ability to mentor engineers and foster technical excellence.
  • Strong project management and delivery capabilities.
  • Ability to anticipate risks and make strategic technical decisions.
  • Excellent stakeholder management and communication skills.
  • Comfortable presenting complex technical topics to business audiences.

Preferred Qualifications

  • Engineering degree or Master's in Computer Science, Data Engineering or related field.
  • 7+ years of experience in Data Engineering.
  • Previous experience leading teams in consulting or large-scale transformation projects.
  • Professional proficiency in English (French is a plus).
What You'll Find at Artefact Casablanca

Impactful International Projects

Work on large-scale Data & AI transformation programs for leading international organizations across multiple industries.

Cutting-Edge Technologies

Build modern cloud-native solutions using the latest technologies and engineering best practices.

Leadership Opportunities

Lead talented teams, shape technical strategy and influence major transformation programs.

Continuous Learning

Access technical certifications, internal academies, conferences and continuous learning opportunities with major cloud providers.

Fast Career Growth

Whether your ambition is technical expertise, people management or client leadership, Artefact offers clear and accelerated career paths.

A Collaborative Culture

Join an international community of passionate experts who believe in knowledge sharing, innovation and collective success.

Our Tech Stack
  • Python
  • SQL
  • Apache Spark
  • Airflow / Composer
  • Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, Cloud Storage)
  • AWS (EKS, Lambda, Glue, RDS, Redshift)
  • Microsoft Azure (Databricks, Data Factory, Synapse)
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions / GitLab CI
  • Ansible
  • Redis
  • Kafka
Why Join Artefact Casablanca?

Because you'll join one of the world's leading Data & AI consulting firms, work alongside exceptional engineers, tackle ambitious international projects and have the opportunity to shape the future of Data Engineering while accelerating your own career.

Ready to build the future of Data & AI with us?

Join Artefact Casablanca.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.