Lead Instructor, Data & Analytics Engineering

Brickstech

Islamabad

On-site

PKR 1,339,000 - 2,790,000

Part time

3 days ago
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Benefits offered by this job

Competitive per-cohort compensation
Ownership of program delivery
Employer network access
Schedule around a full-time role

Job summary

Edversity in Islamabad is launching a Data & Analytics Engineering Program and seeks a Lead Instructor with 4+ years in data platforms to deliver a 12-week, 96-hour live course. You will teach live sessions, review work, mentor capstone projects, and assess learners for referrals.

The role runs alongside a full-time engineering job, with evenings and weekly clinics supported by reviewers and a cohort manager. Strong English/Urdu communication is required.

Qualifications

  • Four or more years of experience in data engineering, analytics engineering, or data platform roles.
  • Experience owning or supporting production data platforms.
  • Strong SQL and Python skills.
  • Practical experience with dbt, cloud warehouses, and orchestration tools.
  • Experience handling production data incidents and governance.

Responsibilities

  • Deliver live teaching sessions and run weekly clinics.
  • Review student work and mentor capstone projects.
  • Lead code reviews and ensure curriculum alignment with industry practices.
  • Prepare learners for analytics engineering and BI roles.
  • Support graduates for employer referrals and network access.

Skills

SQL
Python
data modelling
dbt
Airflow
Snowflake
Power BI
cloud data warehouses
AI coding assistants
metric governance

Tools

dbt
Snowflake
Airflow
Power BI
AWS
Azure

Job description

Job Description

About Edversity Edversity is a technology learning platform based at the National Science & Technology Park, NUST, Islamabad. We have trained more than 12,000 students through live programs in AI, Cybersecurity, Cloud, Blockchain, and emerging technologies.

We are launching our Data & Analytics Engineering Program and are looking for an experienced industry practitioner to lead it.

The Role

You will deliver a 12-week, 96-hour live program designed to prepare learners for analytics engineering, BI development, and data platform roles. This is a practical teaching role. You will teach live sessions, review student work, run technical clinics, mentor capstone projects, and assess students for employer referrals. The role is designed to run alongside a full-time engineering job.

Key Responsibilities
  • Deliver three live teaching sessions each week
  • Lead a weekly code review and technical defence clinic
  • Review student assignments and projects
  • Mentor students during capstone development
  • Run a production-style data incident simulation
  • Keep the curriculum aligned with current industry practices
  • Help identify graduates ready for employer referrals
Program Areas
  • Advanced SQL and Python
  • Data modelling and dimensional design
  • Snowflake and dbt
  • Airflow and orchestration
  • AWS and Azure
  • Data testing and contracts
  • CI/CD for data pipelines
  • Semantic layers and governed metrics
  • Apache Iceberg and lakehouse concepts
  • Power BI and AI coding assistants
Requirements
  • Four or more years of experience in data engineering, analytics engineering, or data platform roles
  • Experience owning or supporting production data platforms
  • Strong SQL and Python skills
  • Practical experience with dbt, cloud warehouses, and orchestration tools
  • Experience handling production data incidents
  • Understanding of dimensional modelling and metric governance
  • Regular use of AI coding assistants
  • Strong communication skills in English and Urdu
  • Availability for fixed evening sessions for 12 consecutive weeks

Teaching experience, postgraduate qualifications, and vendor certifications are not required.

Time Commitment

Approximately 14 to 17 hours per week, including live sessions, preparation, reviews, and student support. You will be supported by practitioner reviewers and a full-time cohort manager.

What We Offer
  • Competitive per-cohort compensation
  • Ownership of program delivery
  • Public visibility as the program’s Lead Instructor
  • Access to Edversity’s employer network
  • Opportunities to lead future cohorts
  • A schedule designed around a full-time role
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