Azure Data Engineer: Cloud Pipelines & Databricks (Hybrid)

Jefferson Frank; Hebburn; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading organisation is seeking an experienced Data Engineer with strong expertise in the Azure Data Stack and Databricks to support key data transformation initiatives in Hebburn. The role is hands-on, focusing on building scalable, cloud-native data solutions and collaborating with cross-functional teams. Ideal candidates will have proven experience with Azure and Databricks. This position offers a hybrid work model with on-site presence as required.

Qualifications

• Proven experience with the Azure Data Stack (Azure Data Factory, Azure Synapse, Azure SQL, ADLS Gen2).
• Strong hands-on expertise with Databricks (Spark, Delta Lake, notebooks, orchestration).
• Experience building and optimising data pipelines for analytics and reporting.

Responsibilities

• Provide hands-on data engineering delivery to support a key data transformation initiative.
• Build scalable, cloud-native data solutions using the Azure Data Stack and Databricks.
• Collaborate with cross-functional teams and stakeholders to translate requirements into data pipelines.

Skills

Azure Data Stack

Databricks

Data pipeline optimization

Cross-functional collaboration

Communication skills

Problem-solving skills

Job description

A leading organisation is seeking an experienced Data Engineer with strong expertise in the Azure Data Stack and Databricks to support key data transformation initiatives in Hebburn. The role is hands-on, focusing on building scalable, cloud-native data solutions and collaborating with cross-functional teams. Ideal candidates will have proven experience with Azure and Databricks. This position offers a hybrid work model with on-site presence as required.