JR-124399 Lead Databricks Engineer

We are seeking a Lead 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; • Opportunities for professional growth and advancement; • A collaborative and innovative work environment; • 20 days of paid vacation, 15 paid days of sick leave with a doctors note, and 5 days of paid sick leave without a doctors note; • Medical insurance coverage for employees, with optional family coverage at corporate rates; • Support for participation in professional development opportunities (webinars, conferences, trainings, etc.); • Regular team-building activities and bi-annual company-wide events; • Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval). Job ID: JR -124399 Apply tot his job