Experienced Data Engineer - Rabat/Casablanca
Company sector : IT (Information Technology)
COMPANY :
Orange Business is the part of the Orange Group that helps companies and organizations with their digital transformation. With 29,100 employees worldwide, we combine a global presence with a local approach to invent new business models with our clients to unlock their full potential. Thus, we create a positive impact, both for their business and for the world around them.
What sets us apart from our competitors? Our dual expertise: we are both a network operator and a digital solutions integrator. As an operator, we build and manage complex infrastructures. As an integrator, we design and manage end-to-end digital solutions.
We provide our clients with solutions around 5 major cross-cutting challenges: setting up their digital workspace, improving their customer experience, facilitating the rise of industry 4.0, collecting and processing data, transforming and securing their network infrastructure.
It is because Orange Business masters all stages of digital transformation that we offer our clients the most relevant solutions.
We imagine an amazing future with our clients and our employees!
So, ready to join the adventure?
Company culture :
Orange Business stands out for its strongly collaborative culture, placing people, trust and collective engagement at the heart of its operations. The company promotes close and supportive management, fostering autonomy, accountability and continuous skills development within a caring work environment. This collaborative foundation is reinforced by a significant innovation component, encouraging creativity, initiative and agility across teams. Structured processes support operational efficiency, while performance objectives are integrated in a balanced and sustainable way.
Job :
Context and objective of the mission
As part of strengthening the team responsible for setting up the Group Data platform, based on a Lakehouse architecture, the IT department is looking for an experienced Data Engineer. The candidate will design, develop, industrialize, and maintain ingestion and transformation flows, contribute to the structuring of the Bronze, Silver, and Gold layers, and prepare reliable datasets for business and decision-making uses.
Main missions
1.
Data design and transformation
Design, develop, and maintain data transformation flows with dbt
Develop data ingestion and preparation processes in Python
Contribute to the implementation of the Bronze, Silver, and Gold layers of the Lakehouse platform
2.Orchestration and industrialization
Develop and maintain Airflow DAGs to orchestrate data processing
Ensure reliability and industrialize processes through quality tests, optimization, and execution monitoring
Integrate developments into version control and CI/CD pipelines
3.Documentation and data governance
Document data models and flows
Contribute to cataloging, metadata management, and traceability in OpenMetadata
Data provisioning
Prepare structured datasets for business uses and reporting
Collaborate with Data architects, business teams, and BI teams
Key skills
dbt: excellent command of models, macros, tests, documentation, and incremental processing
Airflow: excellent command of DAGs, scheduling, dependencies, monitoring, and recovery
Python and SQL: mastery of data ingestion, preparation, and transformation
Internal
Lakehouse: experience with Bronze, Silver, and Gold layered architectures
Engines and formats: experience with Starburst, Trino, and the Iceberg table/catalog format
Industrialization: mastery of Git, CI/CD practices, testing, and monitoring
Governance and BI: basic knowledge of OpenMetadata and Power BI, Metabase, or Superset tools
Business knowledge: basic knowledge of the insurance and brokerage sectors
Tools and environments
dbt, Apache Airflow, Python, and SQL
Starburst, Trino, and Apache Iceberg
OpenMetadata
Git and CI/CD pipelines
Power BI, Metabase, or Superset
Required profile :
Profile sought
•
Experienced Data Engineer with at least 3 years of experience
•
Significant experience with dbt and Airflow in a production environment
•
Rigor, autonomy, and ability to develop reliable, efficient, and maintainable processes
•
Ability to collaborate with Data architects, business teams, and BI teams
Fluent French and professional English
Expected deliverables:
Tested, documented, and production-ready dbt models and flows
Industrialized, monitored, and documented Airflow DAGs
Python scripts for data ingestion and preparation
Structured datasets for Lakehouse and BI uses
Technical documentation and contributions to the data catalog
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