JR-124399 Backlog Mid/Srs/Leads Databricks Engineer

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: Bachelors 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. Other skills: English excellent written and verbal communication skills; Ability to work in a global multi-cultural and multi-national company; Ability to lead conversations with both technical and business representatives; Proven ability to work both independently and as a part of an international project team. 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. What 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