Data Engineer

Responsibilities

• Design, develop, and maintain data pipelines in Python
• Work with ETL/ELT flows, transformation, and data modeling
• Ensure data quality, validation, and testability in data flows
• Work with workflow orchestration (e.g., Airflow or similar)
• Build and operate solutions in cloud environments, primarily Microsoft Azure
• Contribute to CI/CD, version control, and monitoring of data flows
• Collaborate with colleagues and customers regarding requirements, architecture, and solution design

Requirements

• At least 3 years of experience as a Data Engineer in a production environment
• Very good knowledge of Python
• Good experience with SQL, databases, and data modeling
• Experience building and maintaining scalable and robust data pipelines
• Experience with cloud-based data platforms, preferably Microsoft Azure
• Familiarity with working structured with Git, code review, and testing
• Ability to take responsibility for solutions all the way to stable operation
• Professional communication skills in English

Preferred Qualifications

• Experience with Airflow, Dagster, or similar orchestration tools
• Azure services such as Data Factory, Databricks, or Synapse
• CI/CD solutions and DevOps methodologies for data flows
• Container technology (Docker, Kubernetes)
• Proficiency in Swedish

About the Company

AFRY is an international engineering consultancy with a strong local presence. We offer a stable work environment with collective agreements, good benefits, and a culture focused on competence development, collaboration, and work-life balance.