Azure Data Engineer - Databricks - Hybrid - Manchester - Up to £65,000

A well-established organisation is seeking a talented Azure Data Engineer to join their growing data team. This is a fantastic opportunity to work on high-impact projects using modern cloud technologies, including Azure and Databricks, in a collaborative and forward-thinking environment.

The Role:

You'll be responsible for designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and operational reporting. Working closely with data architects, analysts, and stakeholders, you'll help unlock the value of data across the organisation.

Key Responsibilities:

Develop and optimise data pipelines using Azure Data Factory, Databricks, and Spark
Design and implement scalable data solutions in Azure cloud environments
Collaborate with cross-functional teams to understand data requirements
Ensure data quality, integrity, and security across platforms
Support the deployment of machine learning models and advanced analytics
Monitor and troubleshoot data workflows and performance issues

Requirements:

Proven experience with Azure Data Services (Data Factory, Databricks, Synapse)
Strong knowledge of Python, SQL, and Spark
Experience with data modelling, ETL/ELT processes, and pipeline orchestration
Familiarity with CI/CD and DevOps practices in a data engineering context
Excellent communication and stakeholder engagement skillsDesirable:

Experience with Delta Lake, Power BI, and Azure DevOps
Knowledge of data governance, security, and compliance frameworks
Exposure to machine learning workflows and MLOps
Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate)Benefits:

Competitive salary up to £65,000
Hybrid working (2 days in Manchester office)
Pension, private healthcare, and bonus scheme
Training and certification support
Inclusive and flexible working culture
And more