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Open nowPosted 214 days ago

Data Engineer

Workable (global search)108,016 open roles

Where
Dubai, United Arab Emirates
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Your applicationOpen nowData EngineerWorkable (global search) · Dubai, United Arab Emirates

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 214 days ago

Workable (global search) median: 7 days open

The posting

As a Data Engineer, your main goal is to build and maintain the systems that process and store data for the Events & Exhibitions ecosystem. You will take scattered, vendor-specific data (from registration systems, apps, marketing tools) and transform it into a unified, AI-ready dataset using a Medallion Architecture on Azure.

Think of it as organizing raw data into a structured pipeline that’s ready for analysis and machine learning.

Requirements

1. Data Ingestion & API Integration (Bronze Layer)

  • Build and manage robust ETL/ELT pipelines using Azure Data Factory to ingest data from 3rd-party vendors (REST APIs, Webhooks, SFTP).
  • Ensure raw data is landed securely in Azure Data Lake Gen2 (Bronze Layer) without data loss.
  • Implement error-handling and logging to monitor the health of real-time and batch ingestion jobs.

2. Transformation & Modeling (Silver & Gold Layers)

  • Utilize PySpark (Azure Databricks/Synapse) and SQL to clean, deduplicate, and standardize data in the Silver Layer.
  • Execute Identity Resolution logic to stitch together visitor and exhibitor profiles from multiple touchpoints into a "Golden Record."
  • Develop optimized data sets in the Gold Layer for high-performance reporting and predictive AI models.

3. Infrastructure & Performance Optimization

  • Optimize SQL queries and Spark jobs to reduce Azure compute costs and minimize data latency.
  • Maintain the Data Dictionary and technical documentation to ensure the "Engine Room" logic is transparent and scalable.
  • Implement data masking and security protocols to ensure GDPR and internal compliance.

4. Business Enablement

  • Support the Senior Data Manager in building the Semantic Layer that feeds our Power BI "Data Window."
  • Collaborate with the Events Tech team to troubleshoot data discrepancies between front-end apps and back-end tables.

Technical Requirements

  • Experience: 3–5 years in Data Engineering with a focus on Cloud environments.
  • Core Azure Stack: Proven expertise in Azure Data Factory, Azure Synapse Analytics, and Data Lake Gen2.
  • Coding: High proficiency in SQL (complex joins/optimizations) and Python/PySpark.
  • Architectural Knowledge: Practical experience with the Medallion Architecture (Bronze/Silver/Gold).
  • Integration: Strong experience working with REST APIs and JSON/XML data formats.

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