# Staff Data Engineer at Emumba

> Hybrid · Pakistan · Staff · Data engineering · open. Source: https://alderhq.app/jobs/pinpoint%3Aemumba%3A587361 (read 2026-11-08).

## Facts (observed)

- Company: [Emumba](https://alderhq.app/companies/emumba)
- Location text: Islamabad, Pak, Pakistan
- Where it can be done from (inferred): Hybrid · Pakistan (evidence: "Location: Islamabad, Pak, Pakistan")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://emumba.pinpointhq.com/en/postings/bf9379d4-2a42-4d61-a86e-d451ee4e366b
- Skills listed (inferred): Python, Kafka, AWS, SQL, Distributed systems

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

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.

### 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 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.

### Skills

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Aemumba%3A587361 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.