Senior Data Engineer (Databricks + Azure)

Senior Data Engineer (Databricks + Azure)

Location: Remote / Bulgaria

Overview:

For one of our clients – We are seeking a Senior Data Engineer with expertise in Databricks and Azure.

Responsibilities:

• Design and implement scalable, high-performance data pipelines on Databricks
• Handle a migration of datasets, ETL workflows, and data models from Oracle to Azure Databricks
• Integrate Databricks with Azure Data Lake, Azure Data Factory, and Power BI
• Build reusable data components and frameworks for data ingestion, processing, and transformation
• Collaborate closely with architecture, analytics, and DevOps teams
• Ensure compliance, data security, and governance across environments

Requirements:

• Strong experience as a Data Engineer
• Proven experience with Databricks (PySpark, SQL, Delta Lake)
• Strong knowledge of Azure ecosystem (ADF, ADLS, Synapse, etc.)
• Experience in Oracle-to-cloud migrations
• Strong proficiency in SQL, Python, and data modeling
• Excellent communication skills and ability to work in distributed teams

Nice to Have:

• Experience in retail or e-commerce industries
• Familiarity with CI/CD, Infrastructure as Code (Terraform)
• Experience with streaming technologies (Kafka, Event Hubs)

Apply now!

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