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Data Engineer

2 weeks ago

Doha, Baladīyat ad Dawḩah, Qatar Vistas Global Full time 80,000 - 120,000 per year

About the Data Platform

We are building a robust
Data & AI platform
to drive smart insights, enable automation, and empower strategic decision-making across various business sectors.

We are seeking a
passionate and skilled Data Engineer
to join our growing team and help design, develop, and optimize our data infrastructure on Microsoft Azure.

Job Summary

The
Data Engineer
will play a key role in designing, building, and maintaining scalable data pipelines and solutions using the
Azure ecosystem
— with a strong focus on
Azure Data Factory, Azure Databricks, PySpark, and Delta Lake
.

This role involves close collaboration with the
Head of Data & AI
to implement efficient, secure, and high-performance data workflows that enable advanced analytics and AI-driven insights.

Key Responsibilities

  • Design, develop, and maintain
    ETL/ELT pipelines
    using
    Azure Data Factory
    and
    Azure Databricks
    .
  • Implement data workflows leveraging
    PySpark
    and
    Delta Lake
    following
    Medallion Architecture
    principles.
  • Build scalable and efficient
    data models and pipelines
    for both structured and unstructured data.
  • Collaborate with
    Data Analysts
    ,
    Data Scientists
    , and
    Business Stakeholders
    to deliver reliable data solutions.
  • Ensure
    data quality
    ,
    validation
    , and
    governance
    across all data pipelines.
  • Optimize data performance, cost, and storage using
    Azure-native tools
    .
  • Support
    AI/ML model deployment pipelines
    and integrate them into production workflows (a strong plus).
  • Write clean, modular, testable, and well-documented
    Python
    code.
  • Participate in
    architectural discussions
    ,
    code reviews
    , and
    Agile ceremonies
    .
  • Continuously identify and implement
    process improvements
    in data infrastructure and development workflows.

Key Qualifications

  • 3+ years
    of experience in
    Data Engineering
    roles.
  • Proven hands-on expertise with:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Delta Lake / Lakehouse Architecture
  • PySpark
    and
    distributed data processing
  • SQL
    and
    Python
  • Strong understanding of
    data warehousing
    ,
    data modeling
    , and
    data governance best practices
    .
  • Familiarity with
    CI/CD pipelines
    ,
    version control (Git)
    , and
    DevOps
    practices.
  • Excellent
    communication
    ,
    problem-solving
    , and
    collaboration
    skills.
  • Eagerness to learn and contribute to a rapidly evolving
    Data & AI landscape
    .