Azure Data Engineer

• Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related Azure services.
• Develop and optimize ETL/ELT processes for structured and unstructured datasets.
• Implement data ingestion from multiple sources (APIs, databases, streaming, third-party systems).
• Build and optimize data models, data warehouses, and lakehouse architectures.
• Work with architects to design robust cloud data solutions aligned with business needs.
• Ensure data quality, data governance, and metadata standards are consistently met.
• Monitor and enhance performance of data pipelines, storage, and compute workloads.
• Implement scalable and cost-efficient cloud data solutions following Azure best practices.
• Work closely with data analysts, BI developers, product teams, and business stakeholders.
• Translate business requirements into technical specifications and deliverables.
• Contribute to solution design sessions, architecture reviews, and technical discussions.
• Implement data security best practices, including role-based access control and encryption.
• Ensure compliance with relevant governance standards (GDPR, internal policies, etc.).

Do you have experience in SQL?, Candidates can be considered at junior-mid, mid-senior, or senior level depending on experience.

Technical Skills

• Strong hands-on experience with Microsoft Azure data services, ideally including:
• Azure Data Factory (ADF)
• Azure Databricks / PySpark
• Azure Synapse Analytics
• Azure Data Lake Storage (ADLS)
• Azure SQL / SQL Server
• Proficiency in SQL and at least one programming language (Python preferred).
• Solid experience building batch and/or streaming data pipelines.
• Experience with data modelling, ETL/ELT, and modern data warehousing.
• Knowledge of CI/CD for data workloads (e.g., Azure DevOps, Git).

Job Types: Full-time, Permanent

Pay: £55,000.00-£95,000.00 per year

Benefits:

• Work from home