Hands-On Principal Data Engineer: Data Pipelines & AI

Emumba; Islamabad; On-site; PKR 2,000,000 - 4,000,000; Full time

Job summary

Emumba is seeking a hands-on Staff Data Engineer in Islamabad to architect and build large-scale data systems. You will design blueprints for modern data pipelines and write the code to bring them to life, powering Emumba’s AI and product platforms.

This is a technical IC position focused on coding, optimizing pipelines, and mentoring engineers through real-world implementation. You will work on event-driven ingestion, data modeling, and end-to-end data flows across cloud services, collaborating

Qualifications

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

Responsibilities

• Design and code robust data pipelines for batch and real-time use cases.
• Define data models, schemas, and evolution strategies for scalable systems.
• Implement 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.
• Collaborate with AI and backend teams to make data discoverable in production.
• Contribute to architecture, code reviews, and performance tuning.

Skills

Python

SQL

Data modeling

ETL/ELT

Kafka/Kinesis

Cloud data workflows

Vector stores

Job description

Emumba is seeking a hands-on Staff Data Engineer in Islamabad to architect and build large-scale data systems. You will design blueprints for modern data pipelines and write the code to bring them to life, powering Emumba’s AI and product platforms.

This is a technical IC position focused on coding, optimizing pipelines, and mentoring engineers through real-world implementation. You will work on event-driven ingestion, data modeling, and end-to-end data flows across cloud services, collaborating