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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 skills
Desirable:
- 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
