Databricks Engineer - Data Analytics & AI Division
IDBC Kft · Budapest, Central Hungary, Hungary
IT Services and IT Consulting · 201-500 employees
About the role
The role involves building and optimizing modern data platforms and developing scalable data pipelines. You will support cloud-based analytics solutions while collaborating with data scientists and business teams.
What they look for
Requirements
Candidates must have a bachelor's degree and over 4 years of experience in data engineering or cloud analytics. Proficiency in Databricks, Apache Spark, SQL, and Python is required for this position.
Benefits
Full description
The Project
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.
Requirements
Requirements
- 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
Benefits
- Full-remote working
- International working environment
- Modern technologies and challenging projects
- Opportunity to work with experienced professionals
- Long-term career opportunities
