Senior Data Engineer / Data Pipeline Architect

Datamatics Global Services Ltd

Islamabad , Pakistan

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We are seeking a highly skilled Senior Data Engineer / Data Pipeline Architect for a hybrid role based in Stockholm, Sweden. This position involves leading the modernization of data pipelines with a strong focus on data security and technical architecture. The successful candidate will oversee the migration of existing pipelines to comply with enhanced requirements around encryption, data retention, and user data deletion, including handling historical and derived datasets. The assignment is initially for six months, with the possibility of extension, and requires fluency in English.

Key Responsibilities
Design and lead the incremental migration of data pipelines, ensuring that existing outputs remain consistent throughout the process. Establish and maintain robust engineering processes encompassing testing, code reviews, incident management, and release cycles. Combine architectural leadership with hands-on engineering expertise, utilizing tools such as Airflow, Spark, dbt, BigQuery, and Python. Collaborate closely with and mentor a Data Engineer to promote long-term ownership, reliability, and independent maintenance of the modernized pipelines.

Required Qualifications
A minimum of 5 years of relevant professional experience in data engineering, with overall experience ranging from 5 to 10 years. Proven hands-on expertise with Airflow, Spark, dbt, BigQuery, and Python is essential. Demonstrated success in technically leading at least one complete data pipeline migration from inception to completion. Experience in refactoring production data pipelines while ensuring output consistency. Strong background in establishing and implementing engineering best practices, including testing, code reviews, and incident management. Proven mentoring experience with measurable positive outcomes. A Bachelor’s degree or equivalent educational qualification is required.

Preferred Qualifications and Additional Skills
Experience with encryption at rest, data retention policies, and compliance with data deletion regulations such as GDPR is highly desirable. Familiarity with envelope encryption and key management solutions like GCP KMS, AEAD functions, or Tink adds significant value. Knowledge of BigQuery’s column-level security, policy tags, and Data Catalog is advantageous. Experience managing GCP resources via Config Connector (KCC) within Kubernetes environments is a plus. Exposure to event-driven architectures, particularly using Kafka, is also beneficial.

This role offers the opportunity to work on cutting-edge data engineering challenges in a dynamic environment, contributing to critical data security initiatives while shaping the future of data infrastructure. The position requires travel and a hybrid working mode, providing flexibility alongside collaborative onsite engagement. The start date is November 9, 2026, with the assignment running through April 30, 2027.