Data Engineer (DBT, Databricks, AI)

TL;DR

Data Engineer (DBT, Databricks, AI): Developing and optimizing data pipelines and contributing to data product architecture with an accent on data governance, testing, and CI/CD best practices. Focus on collaborating with AI/ML engineers, data scientists, and analysts to deliver reliable and scalable data products.

Location: Hybrid in Malmö, Sweden

Company

hirify.global is a leading Swedish IT consulting and recruitment firm specializing in building high-performing technology teams and delivering end-to-end IT solutions.

What you will do

• Contribute to the design and architecture of data products.
• Develop and optimize data pipelines using DBT and Databricks (including potential streaming data via Kafka).
• Collaborate with AI/ML engineers, data scientists, analysts, and application teams to deliver reliable and scalable data products.
• Implement data governance, testing, and CI/CD best practices to ensure data integrity and operational excellence.

Requirements

• Minimum 3+ years of hands-on experience as a Data Engineer or similar role.
• Proficiency in SQL, Python, and modern data transformation frameworks such as DBT.
• Expertise in Databricks (Spark, Unity Catalog).
• Strong understanding of data lake and data Lakehouse concepts (e.g., Parquet, Iceberg, Delta Lake).
• Experience with Git (preferably GitLab).
• Fluent in Swedish (spoken and written) and comfortable communicating in English.

Nice to have

• Experience with Kafka.

Culture & Benefits

• Flexible hybrid working model for an optimal work-life balance.
• 25 days of annual leave.
• Annual wellness allowance of 3,500 SEK to support your health and wellbeing.
• Supportive culture that fosters continuous learning, growth, and professional development.
• Opportunity to collaborate with talented cross-functional teams on meaningful and impactful projects.
• Dynamic and innovative workplace driving advancements in cutting-edge robotic technologies.