Senior Data Engineer (Stockholm)
Core
Designing and migrating data pipelines and architectures for user-data handling across Airflow, Spark, dbt, and BigQuery.
Role type
Senior Data Engineer (Data Platform)
Builds
Scalable data pipelines, migration frameworks, and verification jobs for client data platforms.
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models
Required skills
Airflow, Spark, dbt, BigQuery, Python, Pipeline Migration, Refactoring, Testing Standards, Incident Handling, Mentoring
Preferred skills
Encryption at rest, GDPR compliance, Envelope encryption, GCP KMS, BigQuery column-level security, Config Connector, Kafka
Technologies
Airflow, Spark, dbt, BigQuery, Python, AWS, Azure, GCP, Databricks, Snowflake
Responsibilities
Propose and drive architecture for user-data handling; Migrate existing pipelines while maintaining output integrity; Design and introduce engineering processes (reviews, testing, post-mortems); Refactor pipelines to remove duplication; Build verification jobs for data-lifecycle rules; Mentor a data engineer; Document architecture decisions.
Seniority
Senior, hands-on IC with technical leadership
