Senior Data Engineering Consultant

6 days ago

Cairo, Cairo, Egypt Creo Technologies Full time 120,000 - 180,000 per year


Location:
Hybrid (Cairo, Egypt)


Experience:
5–7 years

About the Role

We are looking for a
Senior Microsoft Fabric Data Engineer
to join our data & analytics consulting team.

This role is designed for an experienced data professional who can
architect, build, and optimize complex data pipelines and end-to-end workflows
in Microsoft Fabric, with a strong foundation in Azure Synapse, Azure Data Factory and enterprise data warehousing principles.

You will work alongside
Data Architects and cross-functional teams
on
large-scale data modernization projects
across multiple top tier clients in GCC Region.

Key Responsibilities

  • Design and Architect End-to-End Fabric Solutions:
  • Lead architecture and implementation across Fabric components —
    Data Pipelines, Lakehouses, Dataflows Gen2, Warehouses, and Semantic Models
    .
  • Develop and Optimize Data Pipelines:
  • Design, orchestrate, and monitor complex workflows in
    Microsoft Fabric
    ,
    Azure Data Factory (ADF)
    , and
    Azure Synapse Analytics
    .
  • Data Modeling & Transformation:
  • Apply advanced
    SQL
    and
    data modeling techniques
    (star schema, snowflake, normalization, SCD, CDC, etc.) to build scalable, maintainable data models.
  • Implement best practices in
    ELT/ETL
    , data ingestion, transformation, partitioning, and performance tuning.
  • Leverage Delta/Parquet formats, incremental loading, and metadata-driven ingestion patterns.
  • Critically evaluate multiple architecture options and recommend
    the best fit
    for each customer scenario — balancing
    cost, performance, scalability, and simplicity
    .
  • Work closely with
    Data Architects, Business Analysts, and BI Developers
    to align technical design with business goals.
  • Manage multiple data engineering projects simultaneously; ensure design consistency and code reuse across client environments.
  • Actively share knowledge and contribute to internal capability building.

Required Skills & Experience

  • Microsoft Fabric
    : Deep hands-on experience with
    Data Pipelines, Lakehouses, Warehouses, Dataflows Gen2
    , and OneLake integration.
  • Azure Data Factory
    : Mastery in building, orchestrating, and monitoring large-scale pipelines.
  • Azure Synapse Analytics
    : Proficiency in dedicated SQL pools, serverless queries, partitioning, and performance optimization.
  • SQL Mastery
    : Advanced SQL development (CTEs, window functions, dynamic SQL, tuning, indexing).
  • Data Lake Architecture:
    Delta Lake, Parquet, partitioning strategies, medallion (Bronze/Silver/Gold) design
  • Data Engineering Concepts
    : (ELT vs ETL,Incremental and full-load design, Orchestration and monitoring, Data quality and validation frameworks,Parallelism and pipeline optimization)
  • Data Warehousing Concepts: (
    Star/Snowflake schema design, SCDs, Data Modelling,
  • Data governance and security layers (Row-Level Security, sensitivity labels)
  • Performance Optimization:
    Analyze workloads and optimize pipelines, partitioning, caching, and cost-performance balance.

Preferred Qualifications

  • Experience:
    5–7 years in data engineering and BI solutions.
  • Education:
    Degree in Computer Science, Information Systems, or a related field.
  • Programming Skills:
    Python, PySpark, or DAX is a plus.
  • Tools & Ecosystem:
    Exposure to
    Power BI
    ,
    Databricks
    , or
    Azure Logic Apps
    is a plus.
  • Oracle Source Systems:
    Familiarity with Oracle EBS/Fusion or similar on-prem sources is a plus
  • Certifications:
    Microsoft Fabric or Azure Data Engineer Associate (DP-203) preferred.

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