Senior Data Engineer - Contractual

We are seeking a highly skilled Senior Data Engineer to join a leading client’s team. The ideal candidate will have extensive experience in Python, SQL, causal inference, forecasting, and building production-grade data pipelines. This role involves developing, deploying, and evaluating advanced data models while maintaining high standards of data quality, reliability, and scalability. The successful candidate will work closely with cross-functional teams to translate complex analytical insights into actionable business strategies.

Key Responsibilities:
- Develop, deploy, and maintain scalable data models and pipelines to support business needs.
- Ensure data quality and reliability throughout the data lifecycle.
- Build production-grade ETL processes and data workflows using orchestration tools such as Airflow, Dagster, or Cloud Composer.
- Apply causal inference techniques including Difference-in-Differences, Synthetic Control, and counterfactual analysis to derive meaningful insights.
- Conduct forecasting, model evaluation, time-based backtesting, and implement strategies to prevent data leakage.
- Perform data transformations following dbt-style methodologies and implement rigorous data testing.
- Manage entity resolution and data matching tasks to ensure data integrity.
- Collaborate with stakeholders to translate analytical findings into clear business recommendations.

Required Qualifications:
- Minimum of 8 years of relevant experience in Data Engineering, Data Science, or Applied Machine Learning.
- Strong proficiency in Python and SQL with demonstrated experience in production-grade data engineering.
- Hands-on experience with BigQuery or similar data warehouse technologies.
- Expertise in building and managing ETL pipelines, data modeling, and orchestration tools such as Airflow, Dagster, or Cloud Composer.
- Deep understanding of causal inference methodologies including Difference-in-Differences, Synthetic Control, and counterfactual analysis.
- Proven skills in forecasting, model evaluation, time-based backtesting, and data leakage prevention techniques.
- Familiarity with dbt-style transformations, data testing frameworks, and entity resolution/matching processes.
- Demonstrated ability to build models from the ground up and deploy them into production environments.
- Excellent communication skills with the ability to convey complex analytical insights to non-technical stakeholders.

Preferred Qualifications and Benefits:
- Experience in Retail, Grocery, Consumer Packaged Goods (CPG), or Trade Promotion Analytics.
- Knowledge of demand forecasting, price elasticity, and promotion lift modeling.
- Exposure to multi-tenant model deployment and cloud platforms such as AWS, GCP, or Azure.
- Familiarity with LLM-based data extraction techniques.
- Prior experience working in early-stage startup environments is a plus.

Location: This position is open for candidates based in Karachi, Lahore, or Islamabad.

Engagement Type: This is a contractual role for a duration of 3 months.

Experience: Candidates should have at least 8 years of relevant professional experience.

This opportunity is ideal for a seasoned data engineering professional looking to leverage their expertise in a dynamic and challenging environment while contributing to impactful data-driven decision-making.