Lead Data Engineer

Lahore, Pakistan

Actively hiring, first seen by us 7 days ago

Pay: Pay not listed
Work setting: On-site — work setting source
Location: Gulberg 3, Lahore Work Mode: On-site | Full-Time Experience: 5+ Years About the Job
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Design, build and optimize data pipelines from MMPs, ad network APIs and monetization sources
Manage AWS infrastructure and platform services with Terraform
Design and manage GitLab CI/CD pipelines for data and infrastructure code
Set data engineering standards for testing, code review and release management
Mentor and support junior data engineers

From the employer’s posting

Build and maintain ETL/ELT pipelines that ingest data from

Provision and manage AWS resources (S3, Glue, Lambda, EC2, EBS, ECS, Network Load Balancers, IAM, and networking)

Design and manage GitLab CI/CD pipelines for data pipelines

Define and enforce data engineering best practices, including testing, code reviews, version control, documentation, and release management.

Mentor and support junior data engineers while promoting high engineering standards.

What you’ll bring

All qualifications

Core experience

5+ years of experience in data engineering or related roles.
Experience with real-time streaming technologies (Kafka, Flink, Kinesis).
Strong expertise in:- AWS (S3, Glue, Lambda, Athena, EC2, EBS, ECS, and Network Load Balancer)
Experience in gaming analytics, user acquisition, or pLTV modeling.
Hands-on experience with Terraform or a similar infrastructure-as-code tool (CloudFormation, Pulumi), including managing state, modules, and multiple environments.
Experience setting up shared agentic tooling for a team, such as context and prompt conventions, custom agent workflows, or MCP integrations with internal systems.

Qualification wording

5+ years of experience in data engineering or related roles.

Experience with real-time streaming technologies (Kafka, Flink, Kinesis).

Strong expertise in:- AWS (S3, Glue, Lambda, Athena, EC2, EBS, ECS, and Network Load Balancer)

Experience in gaming analytics, user acquisition, or pLTV modeling.

Hands-on experience with Terraform or a similar infrastructure-as-code tool (CloudFormation, Pulumi), including managing state, modules, and multiple environments.

Experience setting up shared agentic tooling for a team, such as context and prompt conventions, custom agent workflows, or MCP integrations with internal systems.

Apply at Game District

Posting record

Report an error

Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 20267 days ago
Recorded sightings: 9
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Game District is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
ClickHouse
dbt
Delta Lake
Docker
Iceberg
Kafka
Kubernetes
Looker
Power BI
S3
Superset
Terraform
Airflow

Where the posting names them

- Proven experience building and maintaining CI/CD pipelines, ideally using GitLab CI/CD, for both data and infrastructure code. - Proficiency in Python for data processing and API integration. - Strong SQL and data modeling skills.

- Proficiency in Python for data processing and API integration. - Strong SQL and data modeling skills. - Hands-on experience integrating marketing and ad network APIs.

Key Responsibilities - Lead the architecture, design, and optimization of our data platform (AWS → Iceberg → StarRocks). - Own the platform’s infrastructure as code. Provision and manage AWS resources (S3, Glue, Lambda, EC2, EBS, ECS, Network Load Balancers, IAM, and networking), along with data platform components, using Terraform and modular, peer-reviewed, version-controlled configurations.

- Lead the architecture, design, and optimization of our data platform (AWS → Iceberg → StarRocks). - Own the platform’s infrastructure as code. Provision and manage AWS resources (S3, Glue, Lambda, EC2, EBS, ECS, Network Load Balancers, IAM, and networking), along with data platform components, using Terraform and modular, peer-reviewed, version-controlled configurations. - Deploy and operate self-hosted platform services such as StarRocks, Apache Superset, and Airflow on EC2 and ECS. This includes EBS storage sizing and performance optimization, Network Load Balancer configuration, high availability, scaling, and cost optimization.

- Bachelor’s degree in a STEM field (Computer Science, Engineering, Mathematics, or a related discipline). - Strong expertise in:- AWS (S3, Glue, Lambda, Athena, EC2, EBS, ECS, and Network Load Balancer) - Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi)

- Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi) - StarRocks / CelerData, ClickHouse, or similar MPP systems - Hands-on experience with Terraform or a similar infrastructure-as-code tool (CloudFormation, Pulumi), including managing state, modules, and multiple environments.

- Deploy and operate self-hosted platform services such as StarRocks, Apache Superset, and Airflow on EC2 and ECS. This includes EBS storage sizing and performance optimization, Network Load Balancer configuration, high availability, scaling, and cost optimization. - Design and manage GitLab CI/CD pipelines for data pipelines, dbt models, and Terraform code, covering automated testing, schema validation, plan/apply workflows, and controlled promotion across environments. - Build and maintain ETL/ELT pipelines that ingest data from:- Mobile Measurement Partners (MMPs), such as Adjust

- Hands-on experience integrating marketing and ad network APIs. - Familiarity with Airflow, dbt, or other orchestration and transformation tools. - Familiarity with agentic development, including practical experience using AI coding agents in daily workflows and sound judgment about where they can accelerate delivery and where their output requires careful review.

- Strong expertise in:- AWS (S3, Glue, Lambda, Athena, EC2, EBS, ECS, and Network Load Balancer) - Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi) - StarRocks / CelerData, ClickHouse, or similar MPP systems

- Experience setting up shared agentic tooling for a team, such as context and prompt conventions, custom agent workflows, or MCP integrations with internal systems. - Experience with Docker and Kubernetes-based orchestration (EKS).

Nice to Have - Experience with real-time streaming technologies (Kafka, Flink, Kinesis). - Experience with Apache Superset, including dashboard development, performance tuning, and administration, or with other BI tools (Power BI, Looker, DataLens).

- Experience with real-time streaming technologies (Kafka, Flink, Kinesis). - Experience with Apache Superset, including dashboard development, performance tuning, and administration, or with other BI tools (Power BI, Looker, DataLens). - Experience in gaming analytics, user acquisition, or pLTV modeling.

- Own the platform’s infrastructure as code. Provision and manage AWS resources (S3, Glue, Lambda, EC2, EBS, ECS, Network Load Balancers, IAM, and networking), along with data platform components, using Terraform and modular, peer-reviewed, version-controlled configurations. - Deploy and operate self-hosted platform services such as StarRocks, Apache Superset, and Airflow on EC2 and ECS. This includes EBS storage sizing and performance optimization, Network Load Balancer configuration, high availability, scaling, and cost optimization. - Design and manage GitLab CI/CD pipelines for data pipelines, dbt models, and Terraform code, covering automated testing, schema validation, plan/apply workflows, and controlled promotion across environments.

- Drive the team’s adoption of agentic development by establishing conventions for using AI coding agents (e.g., Claude Code, Cursor, and GitHub Copilot) to scaffold pipelines, generate tests, refactor code, and write documentation, ensuring human review of every change before deployment. - Collaborate with analysts, data scientists, and marketing teams to design performant data models and enable self-service reporting through Apache Superset. - Establish a data roadmap focused on scalability, cost efficiency, and reliability.

- StarRocks / CelerData, ClickHouse, or similar MPP systems - Hands-on experience with Terraform or a similar infrastructure-as-code tool (CloudFormation, Pulumi), including managing state, modules, and multiple environments. - Proven experience building and maintaining CI/CD pipelines, ideally using GitLab CI/CD, for both data and infrastructure code.

Upload resume Add LinkedIn

Your next step

Complete your application on gamedistrict.applytojob.com. The employer’s form will show what is required.

Applying through JazzHR

No account needed: one application form on the employer’s applytojob.com page.

Already applied? Track this application

Job description

View original posting ↗

Location: Gulberg 3, Lahore
Work Mode: On-site | Full-Time
Experience: 5+ Years

About the Job

We’re looking for a Lead Data Engineer to own and scale the end-to-end data infrastructure that powers marketing, monetization, and analytics across our gaming portfolio.

You’ll design, build, and optimize data pipelines that integrate data from Adjust, ad network APIs, and in-game sources into our data stack. As a team leader, you’ll set the technical direction, establish best practices, and mentor other engineers to build reliable, scalable data systems. You’ll also help shape how the team adopts AI-assisted and agentic development in its daily workflows.

Key Responsibilities

Lead the architecture, design, and optimization of our data platform (AWS → Iceberg → StarRocks).
Own the platform’s infrastructure as code. Provision and manage AWS resources (S3, Glue, Lambda, EC2, EBS, ECS, Network Load Balancers, IAM, and networking), along with data platform components, using Terraform and modular, peer-reviewed, version-controlled configurations.
Deploy and operate self-hosted platform services such as StarRocks, Apache Superset, and Airflow on EC2 and ECS. This includes EBS storage sizing and performance optimization, Network Load Balancer configuration, high availability, scaling, and cost optimization.
Design and manage GitLab CI/CD pipelines for data pipelines, dbt models, and Terraform code, covering automated testing, schema validation, plan/apply workflows, and controlled promotion across environments.
Build and maintain ETL/ELT pipelines that ingest data from:
- Mobile Measurement Partners (MMPs), such as Adjust
- Ad network APIs (Meta, Google Ads, AppLovin, Unity Ads, IronSource, etc.
- Monetization and in-app purchase data sources
Define and enforce data engineering best practices, including testing, code reviews, version control, documentation, and release management.
Drive the team’s adoption of agentic development by establishing conventions for using AI coding agents (e.g., Claude Code, Cursor, and GitHub Copilot) to scaffold pipelines, generate tests, refactor code, and write documentation, ensuring human review of every change before deployment.
Collaborate with analysts, data scientists, and marketing teams to design performant data models and enable self-service reporting through Apache Superset.
Establish a data roadmap focused on scalability, cost efficiency, and reliability.
Implement data observability, alerting, and performance monitoring.
Mentor and support junior data engineers while promoting high engineering standards.

Requirements

5+ years of experience in data engineering or related roles.
Bachelor’s degree in a STEM field (Computer Science, Engineering, Mathematics, or a related discipline).
Strong expertise in:
- AWS (S3, Glue, Lambda, Athena, EC2, EBS, ECS, and Network Load Balancer)
- Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi)
- StarRocks / CelerData, ClickHouse, or similar MPP systems
Hands-on experience with Terraform or a similar infrastructure-as-code tool (CloudFormation, Pulumi), including managing state, modules, and multiple environments.
Proven experience building and maintaining CI/CD pipelines, ideally using GitLab CI/CD, for both data and infrastructure code.
Proficiency in Python for data processing and API integration.
Strong SQL and data modeling skills.
Hands-on experience integrating marketing and ad network APIs.
Familiarity with Airflow, dbt, or other orchestration and transformation tools.
Familiarity with agentic development, including practical experience using AI coding agents in daily workflows and sound judgment about where they can accelerate delivery and where their output requires careful review.
Strong communication, leadership, and cross-functional collaboration skills.

Nice to Have

Experience with real-time streaming technologies (Kafka, Flink, Kinesis).
Experience with Apache Superset, including dashboard development, performance tuning, and administration, or with other BI tools (Power BI, Looker, DataLens).
Experience in gaming analytics, user acquisition, or pLTV modeling.
Experience setting up shared agentic tooling for a team, such as context and prompt conventions, custom agent workflows, or MCP integrations with internal systems.
Experience with Docker and Kubernetes-based orchestration (EKS).

Source details