Senior Data Engineer & Pipeline Architect (Hybrid, Stockholm)

Datamatics Technologies; Karachi Division; Hybrid; PKR 25,431,000 - 33,908,000; Full time

Job summary

Datamatics Technologies in Stockholm is seeking an experienced Senior Data Engineer / Data Pipeline Architect on a hybrid assignment. You will lead data pipeline modernization, enforce encryption and data retention controls, and architect secure, scalable pipelines.

You will guide the migration of existing pipelines, ensure outputs stay the same, and mentor a junior Data Engineer to build long-term ownership and reliability of the migrated data assets.

Qualifications

• Minimum 5 years of relevant professional experience.
• Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python.
• Proven experience technically leading at least one complete data pipeline migration.
• Experience refactoring production data pipelines while ensuring outputs remain unchanged.
• Experience establishing 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

Mentoring

Data pipeline migration

Refactoring pipelines

Engineering processes

Testing

Code reviews

Incident management

Education

Bachelor's degree

Job description

Datamatics Technologies in Stockholm is seeking an experienced Senior Data Engineer / Data Pipeline Architect on a hybrid assignment. You will lead data pipeline modernization, enforce encryption and data retention controls, and architect secure, scalable pipelines.

You will guide the migration of existing pipelines, ensure outputs stay the same, and mentor a junior Data Engineer to build long-term ownership and reliability of the migrated data assets.