Senior Data Engineer / Data Pipeline Architect

We are seeking a highly skilled Senior Data Engineer / Data Pipeline Architect for a hybrid role based in Stockholm, Sweden. This position focuses on modernizing data pipelines with an emphasis on data security and technical architecture. The successful candidate will lead the technical migration of existing data pipelines to comply with enhanced requirements for encryption, data retention, and the deletion of user data, including historical and derived datasets. The assignment is initially for six months, with the possibility of extension, and requires travel as part of the hybrid working arrangement. Fluency in English is essential, and the role is expected to start in November 2026.

Key Responsibilities

- Design and lead the architecture for incremental migration of data pipelines, ensuring that existing outputs remain consistent throughout the process.
- Develop and implement sustainable engineering processes covering testing, code reviews, incident management, and release procedures.
- Provide architectural leadership combined with hands-on engineering expertise 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 an overall experience range of 5 to 10 years.
- Extensive hands-on experience 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 outputs remain unchanged.
- Demonstrated ability to establish and implement engineering processes such as 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

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

This role offers the opportunity to work on a critical modernization project within a dynamic environment, combining leadership and technical expertise to enhance data security and pipeline reliability. The hybrid working model supports flexibility while requiring travel to the Stockholm office as needed.