Senior Data Engineer - Azure Databricks

About the role

We are looking for a Senior Data Engineer with deep expertise in Azure Databricks to design, build, and operate scalable data pipelines. The role involves end‑to‑end delivery of data products, migration of large datasets, and ensuring high reliability in a remote work environment.

Key responsibilities

• Own the full lifecycle of data pipelines from design through production support.
• Develop, maintain, and optimise pipelines using Azure Databricks, DBT, and Python.
• Execute large‑scale migrations from Snowflake (AWS) to Azure Databricks.
• Build infrastructure‑as‑code solutions with Terraform.
• Implement data quality, testing, and validation frameworks.
• Provide observability through monitoring, logging, and alerting.
• Contribute to scalable Lakehouse architecture design.
• Mentor junior engineers and collaborate with cross‑functional teams.

Required profile

• 5‑8+ years of data engineering experience in enterprise environments.
• Strong analytical, problem‑solving and communication abilities.
• Experience supporting production systems, incident resolution, and performance tuning.

Required skills

• Azure Databricks
• DBT
• Snowflake
• Python
• SQL
• Terraform
• CI/CD pipelines
• Git version control
• Monitoring and alerting
• Data quality testing
• Observability frameworks