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Data Engineer

SQLPythonData Pipelines & ETL/ELTDatabase & Data WarehousingData Cleaning & Transformation

About the role

This role is designed for data engineers with 2+ years of hands-on experience and strong expertise in SQL, Python, databases, and data engineering principles. You'll design, build, and optimize scalable, reliable data pipelines, take ownership of data quality, and play an active role in data governance and compliance initiatives. You will partner with cross-functional teams to deliver data-driven products and solutions, contribute to architectural and technical decisions, and help establish best practices while continuing to deepen your expertise in modern data engineering tools and practices.

What you'll do

  • Build, maintain, monitor, and troubleshoot reliable data pipelines and data-quality issues.
  • Clean, transform, validate, and integrate data from multiple sources.
  • Strong understanding of SQL and Python.
  • Support data warehouse design, development, and maintenance using knowledge of databases, data structures, and ETL/ELT concepts.
  • Support data governance through documentation, lineage, quality standards, access controls, privacy, security, and regulatory compliance.
  • Exposure to Airflow, dbt, Spark, or data governance tools.
  • Ensure data processes align with organizational policies, security standards, and applicable regulations.

What we're looking for

  • Familiarity with Git and version-control practices.
  • Experience with Microsoft Fabric or PowerBI is a plus
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) is a plus.
  • Strong problem-solving, communication, teamwork, and attention-to-detail.
  • Immediate joiners would be preferred.

Compensation & benefits

Market Competitive

  • Performance bonuses paid bi-annually
  • Generous paid time off, planned and casual
  • Annual learning budget for courses, certifications and conferences
  • Hardware & tools stipend on day one
  • Home internet stipend, monthly
  • Health & wellness coverage
  • Hybrid & remote flexibility where the work allows
  • Quarterly team events and an annual retreat

See the full benefits list on our careers page, or read about WAMO Labs, an AI-first engineering company.

Apply for this role
Job application

Apply for Data Engineer

Takes about five minutes. Fields marked * are required. Have your resume ready as a PDF (up to 10 MB).

Personal information

Role requirements

Can you work on-site in Lahore? *
Can you commute to Johar Town? *
Are you comfortable working a night shift if required? *
Are you comfortable working from 3pm onward? *

Education

Skills assessment

Every skill starts at 1. Set each one from 1 (just starting) to 5 (could teach it to others).

Rate your skill in SQL *
Rate your skill in Python *
Rate your skill in Data Pipelines & ETL/ELT *
Rate your skill in Database & Data Warehousing *
Rate your skill in Data Cleaning & Transformation *

In your own words

Video & file links

Before you add links: record your videos as the role guidelines describe and set each Google Drive file so anyone with the link can view it. We can't review applications with links we can't open.
Resume *

Paste your Google Drive share links, one per line. Set each file so anyone with the link can view it.

How to share a file from Google Drive

  1. Open the file in Google Drive.
  2. Click "Share".
  3. Under General access, choose "Anyone with the link".
  4. Copy the link and paste it above.

Employment

Resume

PDF only, up to 10 MB.

A senior engineer reviews every application within 1–2 business days.