Databricks Engineer

About the Position

We are seeking a Databricks Engineer to drive the design, development, and optimization of data pipelines and analytics solutions on the Databricks Lakehouse platform. This role is ideal for a hands-on technical leader who is passionate about big data technologies, cloud computing, and enabling business insights through scalable data architectures.

Locations

• Serbia
• Albania
• Bosnia and Herzegovina
• Montenegro
• North Macedonia
• Ukraine
• Georgia
• Argentina
• Brazil
• Estonia
• Latvia
• Lithuania
• Finland
• Romania
• Hungary
• Slovakia
• Slovenia
• Czech Republic

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field
• 5+ years of experience in Data Engineering or Big Data roles
• 2+ years of hands-on experience with Databricks, Spark (PySpark or Scala), and Delta Lake
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern data architectures (Lakehouse, Data Mesh, etc.)
• Proficiency in SQL, Python, and distributed data processing
• Experience with CI/CD, version control (Git), and DataOps in a data environment
• Deep understanding of data governance, cataloging, and security concepts
• Experience leading a team or a project, acting as a team/tech lead of a project

Nice to Have

• Databricks (Pro, Architect) certification
• Experience with machine learning pipelines and MLOps in Databricks
• Exposure to streaming technologies (Kafka, Spark Structured Streaming)
• Knowledge of DBT, Airflow, or other similar transformation and orchestration tools

Job Responsibilities

• Lead end-to-end development of data pipelines, ETL/ELT processes, and batch/streaming solutions using Databricks and Apache Spark
• Design and implement Lakehouse architectures that align with business and technical requirements
• Collaborate with data scientists, analysts, and engineers to deliver high-performance data products and ML features
• Define and enforce coding standards, best practices, and performance tuning strategies across Databricks notebooks and jobs
• Optimize data models in Delta Lake and implement data governance standards using Unity Catalog
• Manage integration of data sources across cloud platforms (e.g., AWS, Azure, GCP) using native and third-party connectors
• Contribute to and lead technical reviews, architecture sessions, and mentoring of less experienced engineers
• Automate infrastructure deployment with tools like Terraform, Databricks CLI, or others
• Ensure data platform solutions are secure, compliant, and scalable across global business units

We Offer

• Competitive salary
• 100% remote opportunity
• Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval)
• Opportunities for professional growth and career advancement
• Collaborative and innovative work environment
• Paid time off, including holidays, vacation, and sick leave
• Benefits may vary by location and will be confirmed during the interview process

Job ID

JR-124399