Senior Data Engineer: Pipeline Modernization & Architecture

Datamatics Global Services Inc; Islamabad; Hybrid; PKR 28,257,000 - 42,385,000; Full time

Job summary

Datamatics Global Services Inc is seeking a Senior Data Engineer / Data Pipeline Architect for an assignment in Stockholm, focusing on data pipeline modernization, data security, and technical architecture.

The role involves leading the migration of existing data pipelines to meet stricter encryption, retention, and deletion requirements, while ensuring outputs remain unchanged. You will mentor a Data Engineer and collaborate across teams.

Qualifications

• Minimum 5 years of relevant professional experience (5–10 years).
• Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python.
• Proven experience leading at least one complete data pipeline migration from start to finish.
• Experience refactoring production data pipelines while ensuring outputs remain unchanged.
• Experience establishing and implementing engineering processes for testing, code reviews, and incident management.
• Mentoring experience with measurable outcomes.

Responsibilities

• Design and drive the architecture, migrating pipelines incrementally while ensuring existing outputs remain unchanged.
• Establish sustainable engineering processes for testing, code reviews, incident management, and releases.
• Combine architectural leadership with hands-on engineering using Airflow, Spark, dbt, BigQuery, and Python.
• Collaborate closely with and mentor a Data Engineer within the team, ensuring long-term ownership, reliability, and independent maintenance of the migrated pipelines.

Skills

Airflow

Spark

dbt

BigQuery

Python

Education

Bachelor's degree

Tools

Kafka

Job description

Datamatics Global Services Inc is seeking a Senior Data Engineer / Data Pipeline Architect for an assignment in Stockholm, focusing on data pipeline modernization, data security, and technical architecture.

The role involves leading the migration of existing data pipelines to meet stricter encryption, retention, and deletion requirements, while ensuring outputs remain unchanged. You will mentor a Data Engineer and collaborate across teams.