Azure Data Engineer

About the role

We are looking for an Azure Data Engineer to design, build, and optimise data pipelines on the Databricks platform. The role involves working closely with senior engineers, architects and analytics teams to deliver robust data solutions that meet security and compliance standards.

Key responsibilities

• Develop, maintain and optimise end‑to‑end data pipelines using Databricks.
• Design and implement ETL/ELT processes for data ingestion, transformation and orchestration.
• Work with data lake, data warehouse and lakehouse architectures to support analytical workloads.
• Execute data migration, integration and automation projects.
• Collaborate with cross‑functional teams to ensure solution delivery aligns with business needs.
• Apply security, access‑control and compliance best practices throughout the data lifecycle.
• Participate in Agile and DevOps practices to accelerate delivery.

Required profile

• Hands‑on experience with Databricks and building data pipelines.
• Strong understanding of ETL/ELT concepts and data transformation techniques.
• Familiarity with data lake, data warehouse and lakehouse environments.
• Experience in data migration, integration and automation.
• Ability to work effectively in Agile and DevOps settings.
• Good collaboration skills with senior technical and analytics teams.

Required skills

• Databricks
• ETL
• ELT
• Data pipelines
• Data ingestion
• Data transformation
• Data orchestration
• Data lake
• Data warehouse
• Lakehouse
• Data migration
• Data integration
• Automation
• Agile
• DevOps
• Security
• Access control
• Compliance