Databricks Engineer

Role Description

We are looking for a Data Engineer (Databricks) to join our partner's international team. The role focuses on building and optimizing modern data platforms, developing scalable data pipelines, and supporting cloud-based analytics solutions in a dynamic environment.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field
• More than 4 years of experience in data engineering, big data, or cloud-based analytics, with a strong preference for experience in banking or fintech sector
• More than 2 years of hands-on experience with Databricks (Workflows, Jobs, Notebooks, and Clusters), including Delta Lake, Spark Structured Streaming
• Expertise in Apache Spark (PySpark/Scala) for large-scale data processing and real-time analytics
• Advanced experience in SQL and Python/Scala, with experience in data transformations and ETL pipelines
• Strong understanding of Delta Lake architecture for data versioning, ACID transactions, and schema evolution
• Experience with Cloud Platforms, particularly Databricks on Azure
• Knowledge of Lakehouse architecture and designing scalable, secure, and cost-efficient data pipelines is a plus
• Familiarity with streaming architectures (Kafka) is a plus
• Experience in MLOps and model deployment using MLflow in Databricks is a plus
• Ability to collaborate with data scientists, analysts, and business teams to understand data needs
• Strong problem-solving skills, with the ability to troubleshoot performance bottlenecks and optimize workloads
• Excellent communication skills to explain technical concepts to non-technical stakeholders

Benefits

• Full-remote working
• International working environment
• Modern technologies and challenging projects
• Opportunity to work with experienced professionals
• Long-term career opportunities