Lead Data Engineer

STARZPLAY; Lahore; On-site; PKR 1,400,000 - 2,000,000; Full time

Job summary

A leading streaming service is seeking a skilled Lead/Principal Data Engineer to drive the development of their data platform. This role involves architecting data pipelines, leading a team, and ensuring data quality and performance. Ideal candidates have 7+ years of experience in data engineering, strong AWS skills, and leadership experience. The position is based in Pakistan and is full-time and on-site.

Qualifications

• 7+ years of experience in data engineering with at least 2+ years in a lead role.
• Proven experience with batch and streaming data solutions.
• Strong knowledge of data warehousing and modern data platforms.

Responsibilities

• Architect, build, and optimize end-to-end data pipelines.
• Lead and mentor a team of data engineers.
• Collaborate with analytics and product teams to deliver trusted data.

Skills

Data engineering

Cloud-native pipelines

AWS

SQL

Python

Leadership

Tools

Amazon Redshift

Talend

Airflow

Tableau

Job description

Lead / Principal Data Engineer

We are looking for a highly skilled Lead or Principal Data Engineer to join and shape the future of our data platform at StarzPlay. This is a high-impact role for someone who thrives in a hands-on environment, has a strong data engineering background, and excels at delivering scalable, production-ready data solutions.

What You’ll Do:

• Architect, build, and optimize end-to-end data pipelines and workflows using modern data engineering tools and best practices.


• Own the design and evolution of scalable data models and schemas, particularly in Amazon Redshift and data lake environments.


• Ensure high availability, performance, and reliability of our data infrastructure.


• Lead and mentor a team of data engineers, fostering a culture of technical excellence and accountability.


• Collaborate closely with analytics, data science, product, and engineering teams to deliver high-quality, trusted data.


• Champion data quality, security, governance, and monitoring across all layers of the stack.


• Evaluate and adopt new technologies that can help scale our platform and improve developer productivity.

Tech Stack You’ll Work With:

• AWS: Redshift, S3, Lambda, IAM, Glue


• Languages: Python, PySpark, SQL


• ETL: Talend , dbt,


• Orchestration: Airflow, Dagster


• Visualization: Tableau, Looker (a plus)


• DevOps: Git, CI/CD, Terraform (a plus)

What We’re Looking For:

• 7+ years of experience in data engineering with at least 2+ years in a lead role


• Deep hands-on expertise in building cloud-native data pipelines (AWS preferred)


• Proven experience with batch + streaming data solutions, CDC, and event-driven architectures


• Strong knowledge of data warehousing, data lakes, and modern data platforms


• Expert-level SQL and proficiency in Python / PySpark


• Track record of leading end-to-end data initiatives from design to production


• Excellent problem-solving and stakeholder management skills

Location: Pakistan-based (Islamabad)
Type: Full-time, On-site