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Industry 4.0 Data Engineer

Lear Corporation · Rabat

Mid 🇬🇧 English
Python SQL Spark

Job description

About the role

We are looking for an Industry 4.0 Data Engineer to join our R&D centre in Rabat. In this role you will collaborate with cross‑functional teams to design, build and maintain data pipelines that feed business intelligence and analytics across the organisation.

Key responsibilities

  • Design, develop and maintain robust data ingestion pipelines that integrate data from multiple enterprise systems.
  • Ensure pipeline reliability, performance and security, handling schema evolution and deprecation.
  • Create and manage well‑structured, searchable datasets, supporting metadata management and semantic modelling.
  • Maintain data quality, lineage and observability to guarantee trustworthy data for decision‑making.
  • Apply data security, access control and compliance standards, including classification and handling of sensitive information.
  • Collaborate with SMEs, analysts and business users to gather requirements and support data governance.
  • Document data products and provide day‑to‑day support for users.

Required profile

  • Master’s degree in Computer Science, Data Science, Software Engineering or a related technical field.
  • 2‑5 years of experience in data engineering, data platform development or ETL pipeline construction.
  • Experience working in a multinational environment.

Required skills

  • Strong proficiency in Python.
  • Advanced SQL skills.
  • Experience with distributed processing frameworks such as Apache Spark.

Questions fréquentes

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Published 2 weeks ago

Expires 1 month from now

50 views · 0 interested

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Lear Corporation

Rabat