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Open nowPosted 28 days ago

L1 Data Engineer - Remote

Workable (global search)109,826 open roles

Where
Egypt
Work mode
Remote
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Your applicationOpen nowL1 Data Engineer - RemoteWorkable (global search) · Egypt

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The clock on this job

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 2 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 28 days ago

Workable (global search) median: 2 days open

The posting

We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining the data architecture and infrastructure that supports our organization's data strategy. You will work hands-on to develop, test, and deploy reliable data solutions — ensuring pipelines are scalable, efficient, and aligned with business requirements.

This is an ideal opportunity for a data professional who is eager to deepen their expertise in cloud-native data platforms, particularly within the Microsoft Azure and Databricks ecosystem, and who thrives in a collaborative, fast-paced environment.

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics use cases.

• Build and optimize data ingestion processes using Azure Data Factory and Databricks, ensuring data quality and consistency across all layers of the data platform.

• Transform and process large datasets using PySpark and Python, applying best practices for performance and maintainability.

• Write and optimize complex SQL queries to support analytical reporting and data validation requirements.

• Collaborate with data architects and senior engineers to implement and maintain data models aligned with organizational standards.

• Monitor, troubleshoot, and resolve pipeline failures and data quality issues, applying root-cause analysis to prevent recurrence.

• Contribute to documentation of data pipelines, data dictionaries, and engineering standards.

• Support the team in exploring and evaluating new tools and approaches to continuously improve the data infrastructure.

Requirements

  • 3+ years of professional experience in a Data Engineering or closely related role.
  • Strong proficiency in Python for data processing, transformation, and automation tasks.
  • Hands-on experience with Pandas for data manipulation and PySpark for distributed data processing.
  • Practical experience with Databricks, including notebook development, clusters, and job orchestration.
  • Experience building and managing data pipelines with Azure Data Factory.
  • Working knowledge of Azure Synapse Analytics, particularly Spark pool integration.
  • Solid SQL skills, including query writing, optimization, and performance tuning.
  • Familiarity with data engineering principles including incremental loading, data lake architecture, and Delta Lake.
  • Understanding of data governance and security concepts within a cloud data platform.

NICE TO HAVE

  • Experience with SQL Server migration projects, including schema conversion and data movement.
  • Exposure to Terraform for Azure infrastructure provisioning and management.
  • Familiarity with CI/CD practices applied to data engineering workflows.
  • Experience with Delta Sharing or Lakehouse Federation concepts.

CERTIFICATION REQUIREMENT

  • Candidates are expected to hold or be actively working toward the Databricks Certified Data Engineer Associate certification. This certification validates foundational knowledge across the following domains:
  • Databricks Lakehouse Platform architecture and capabilities
  • ETL and ELT workflows using Spark SQL and PySpark
  • Incremental data processing and structured streaming
  • Production pipeline development and orchestration
  • Data governance and security within the Databricks environment
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