Principal Data Engineer

Company: Emumba
Location: Islamabad, Pakistan
Type: hybrid
Posted: Sep 28, 2026
Views: 3
We’re hiring a hands-on Principal Data Engineer who can both architect and build large-scale data systems.

You’ll design the blueprints for modern data pipelines, then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets, your work will power the data backbone behind Emumba’s AI and product platforms.

This is a technical IC position, not a managerial one. You’ll spend most of your time writing code, optimizing data pipelines, and mentoring engineers through real-world implementation.
  • Design and code robust data pipelines for batch and real-time use cases.
  • Define data models, schemas, and evolution strategies for scalable systems.
  • Implement reliable ingestion, transformation, and storage layers across cloud services.
  • Work hands-on with event-driven architectures, microservices, and data APIs.
  • Optimize data quality, performance, and observability.
  • Partner with AI and backend teams to make data discoverable and usable in production.
Contribute directly to architecture, code reviews, and performance tuning.

Must-Have Skills

  • 6+ years of hands-on experience in designing and building production data systems.
  • Strong coding in Python and proficiency in SQL.
  • Experience with data modeling, ETL/ELT, and data lifecycle management.
  • Familiarity with event-driven systems (Kafka, Kinesis, or similar).
  • Practical experience with cloud-native data workflows (AWS S3, Lambda, Glue, or similar).
  • Solid understanding of structured, semi-structured, and unstructured data formats.

Nice-to-Have

  • Experience working with vector stores or retrieval-based pipelines.
  • Familiarity with Lakehouse concepts (Delta/Iceberg/Hudi — or similar patterns).
  • Understanding of data governance, cataloging, and lineage tracking.
  • Exposure to ML data preparation or feature store design.

Soft Skills

  • Hands-on builder attitude: owns delivery from architecture to deployment.
  • Collaborates across AI, backend, and DevOps teams.
  • Provides mentorship through examples, not supervision.
Communicates clearly and pragmatically about technical trade-offs.
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About the Company

Name: Emumba
Website: https://emumba.com

Most employees today look forward to the Fridays but at Emumba, we strive to create a place where people look forward to the Mondays. Emumba stands out for its exceptional work ethic and culture, offering everything one could hope for in a workplace.

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