Senior Data Engineer / Data Pipeline Architect

Based in Stockholm, Sweden, this hybrid role requires travel and offers a 6-month full-time engagement with the possibility of extension. The position is ideal for a Senior Data Engineer or Data Pipeline Architect with 5 to 10 years of experience, starting November 9, 2026, through April 30, 2027. The primary focus is on modernizing data pipelines, enhancing data security, and refining technical architecture. The successful candidate will lead the migration of existing data pipelines to comply with stricter requirements around encryption, data retention, and deletion of user data, including historical and derived datasets.

Key Responsibilities

- Design and lead the incremental migration of data pipelines, ensuring that existing outputs remain consistent throughout the process.
- Establish and maintain sustainable engineering processes, including testing, code reviews, incident management, and release procedures.
- Provide architectural leadership while actively engaging in hands-on engineering using technologies such as Airflow, Spark, dbt, BigQuery, and Python.
- Collaborate closely with and mentor a Data Engineer within the team to promote long-term ownership, reliability, and independent maintenance of the migrated pipelines.

Required Qualifications

- A minimum of 5 years of relevant professional experience, with a total of 5 to 10 years overall in the field.
- Deep hands-on expertise with Airflow, Spark, dbt, BigQuery, and Python.
- Proven track record of technically leading at least one complete data pipeline migration from inception to completion.
- Experience in refactoring production data pipelines while ensuring that their outputs remain unchanged.
- Demonstrated ability to establish and implement engineering processes for testing, code reviews, and incident management.
- Strong mentoring skills with measurable outcomes in developing team members.
- Bachelor’s degree or equivalent educational qualification.

Preferred Qualifications and Benefits

- Experience with encryption at rest, data retention policies, and data deletion compliance, such as GDPR.
- Familiarity with envelope encryption and key management solutions like GCP KMS, AEAD functions, or Tink.
- Knowledge of BigQuery column-level security, policy tags, and Data Catalog.
- Experience managing GCP resources through Kubernetes using Config Connector (KCC).
- Exposure to event-driven architectures utilizing Kafka.

This role offers the opportunity to work in a dynamic environment where technical leadership and hands-on skills are equally valued. The candidate will contribute significantly to improving data security and pipeline reliability while mentoring junior engineers to ensure sustainable success. Fluency in English is required to collaborate effectively within the team and with stakeholders.