Senior Data Engineer (Stockholm)

Location: Sweden; work from the European Union region and a work permit are required.

Company

hirify.global is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, modern applications, data platforms, and AI solutions across 16 countries.

What you will do

• Propose and drive architecture for user-data handling across Airflow, Spark, dbt, and BigQuery, including encryption points, derived tables, backfills, and partitioning.
• Migrate existing pipelines while preserving outputs and build a regression harness to verify unchanged behavior.
• Introduce pipeline change reviews, testing standards, incident post-mortems, and release checklists.
• Refactor pipelines to remove duplicated steps and copy-pasted logic, and build verification jobs for end-to-end data-lifecycle compliance.
• Pair with and mentor a data engineer, share pipeline maintenance and incident handling, address root causes, and document architecture decisions.

Requirements

• Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python.
• Technical leadership of at least one pipeline migration from start to finish.
• Experience refactoring a live pipeline and proving that its output remained unchanged.
• Ability to introduce testing, code review, and incident-handling practices and help a team adopt them consistently.
• Mentoring experience with a concrete outcome.
• Hands-on approach to technical decisions, with the ability to support and guide other engineers.
• Work from the European Union region and a work permit are required.

Nice to have

• Experience with encryption at rest, data retention, or deletion compliance, such as GDPR.
• Experience with envelope encryption and key managers or tools such as GCP KMS, BigQuery AEAD functions, or Tink.
• Experience with BigQuery column-level security, policy tags, or Data Catalog.
• Experience with Config Connector (KCC) for managing GCP resources from Kubernetes.
• Experience working with Kafka events.

Culture & Benefits

• Work in a global team of approximately 5,000 professionals across 16 countries.
• Engineering-focused environment with a consulting mindset and continuous knowledge sharing.
• Work on data platforms, AI solutions, and modern applications for enterprise clients.

Hiring process

• CV review, HR call, interview, client interview, and decision.