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Lead Data Engineer (Islamabad | Onsite | PKR Salary)

Summary

Lead a team to design, build, and maintain scalable data pipelines and warehouses, ensuring reliable analytics and ML-ready datasets using SQL, Python, and cloud tools.

We’re hiring a Lead Data Engineer – (Islamabad)

About the Role:

We're looking for a Lead Data Engineer to own the design, development, and evolution of our data architecture. In this role you'll set the technical direction for how data flows through the organization — making sure it's accurate, reliable, and accessible to everyone who depends on it. You'll work hand-in-hand with software engineers, data analysts, and business stakeholders, and you'll lead a small team of data engineers, setting standards, mentoring, and raising the bar on quality. This is a hands‑on leadership role: you'll still be close to the code and the pipelines, while also shaping strategy and guiding the people around you.

What You'll Do:

  • Lead the design and implementation of data models, schemas, and pipelines that support our analytics, product, and operational needs
  • Build and maintain our core data infrastructure — data warehousing, ETL/ELT processes, and data APIs
  • Collect, clean, and preprocess large and complex datasets from a wide range of internal and external sources
  • Define and enforce data quality controls and validation processes to ensure accuracy and integrity across the platform
  • Partner with cross‑functional teams to translate business requirements into well‑architected, scalable data solutions
  • Build and maintain dashboards and visualisations that help stakeholders understand and act on our data
  • Continuously evaluate and improve our infrastructure for scalability, reliability, and performance
  • Apply statistical methods and machine‑learning techniques to analyse and interpret datasets where they add value
  • Leverage AI tools and assistants to accelerate delivery — writing, reviewing, and debugging pipelines faster while maintaining accuracy and high standards
  • Champion a quality‑first mindset across the team, treating data accuracy, reliability, and integrity as non‑negotiable
  • Mentor and guide the data engineering team, establishing best practices in code quality, testing, documentation, and data governance
  • Set the technical roadmap for the data function and champion a data‑driven culture across the organization

What We’re Looking For:

  • 6+ years of experience in data engineering, with at least 1–2 years in a lead or senior position
  • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
  • Deep, hands‑on experience designing and operating data warehouses (e.g. BigQuery, Snowflake, Redshift) and building ETL/ELT pipelines
  • Experience with modern data tooling — orchestration (Airflow, Dagster, or similar), transformation (dbt), and streaming/batch processing
  • Solid understanding of data modelling, schema design, and data quality frameworks
  • Familiarity with cloud platforms (GCP, AWS, or Azure) and a track record of working closely with analysts and business stakeholders to deliver usable, trustworthy data
  • Strong fluency with AI tools (e.g., coding assistants, LLMs) and a proven ability to leverage them to deliver faster without compromising on accuracy or quality
  • A genuine quality‑first mindset — meticulous about correctness, validation, testing, and documentation
  • Well‑versed in data governance and security — access controls, data privacy, compliance, and secure handling of sensitive data
  • Strong communication skills and the ability to lead and mentor a team

Nice to Have:

  • Experience with BI and visualisation tools (Looker, Tableau, Power BI, Metabase)
  • Exposure to machine‑learning workflows and MLOps
  • Experience in a high‑growth marketplace, e‑commerce, or consumer‑tech environment

Other Details:

  • Location: Islamabad
  • Experience: 6 years
  • Salary: PKR Taxable.
  • Timings: Mon to Fri (10 AM‑7 PM); Friday is WFH
  • Benefits:
    • Medical insurance IPD and OPD
    • 22 days holidays a year
    • 15 days medical leave

See also

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