Senior Data Engineer – Remote (Pakistan)

About the role

The Data Engineer will own and maintain the company’s data platform, ensuring reliability, scalability, and clear documentation. This senior, hands‑on position focuses on designing and optimizing data pipelines, managing cloud infrastructure, and delivering production‑ready data solutions for reporting and analytics.

Key responsibilities

• Design, build, and optimise end‑to‑end data pipelines.
• Manage and operate AWS services (ECS, VPC, IAM, Secrets Manager, S3) in a production environment.
• Develop and maintain dbt models, snapshots, incremental materialisations, and tests.
• Containerise workloads using Docker and Docker‑Compose, and integrate them into CI pipelines.
• Ensure data warehouse design follows best practices for incremental loading, idempotency, and slowly changing dimensions.
• Document architecture, processes, and operational guides; set up alerting and monitoring.
• Communicate technical constraints and decisions to non‑technical stakeholders.

Required profile

• 5+ years of hands‑on data engineering experience with ownership of a production platform.
• Highly autonomous, able to set priorities, make architectural decisions, and document systems proactively.
• Strong problem‑solving skills and ability to explain technical concepts clearly.

Required skills

• Python (production‑grade)
• Advanced SQL (window functions, CTEs, performance tuning)
• dbt (models, snapshots, incremental materialisations, testing)
• AWS (ECS, VPC networking, IAM, Secrets Manager, S3)
• Docker & Docker‑Compose
• Git and CI/CD pipelines
• Layered data‑warehouse design, incremental loading, idempotency, slowly changing dimensions
• Nice‑to‑have: Apache Iceberg, Trino, PyIceberg, PyArrow, Apache Nessie, Power BI, Salesforce data model, BigQuery, Google Ads data model, Snowflake, Databricks