Data Engineer - £500PD - Remote
We're looking for a skilled Data Engineer with strong Azure experience to design, build, and maintain our modern data platforms. You will develop scalable data pipelines, support analytics and ML workloads, and ensure data availability, performance, and quality across the organization.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL / ELT processes using Azure services.
- Develop and optimize data lake and data warehouse solutions (e.g., Azure Data Lake Storage, Azure Synapse Analytics).
- Implement best practices in data modeling, partitioning, and performance optimization.
- Support real-time and batch data processing workloads.
Azure Cloud Solutions
- Use and manage Azure services such as Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure SQL / Cosmos DB, Azure Event Hub / Service Bus.
- Ensure reliability, scalability, and security of cloud-based data infrastructure.
Data Quality, Governance & Security
- Implement data validation, monitoring, and quality frameworks to ensure clean and trustworthy data.
- Work with the data governance team to ensure compliance with standards, policies, and privacy regulations.
- Maintain metadata, lineage, and documentation for all data solutions.
Collaboration & Stakeholder Support
- Partner with analytics, product, and engineering teams to understand data needs and deliver high-quality data products.
- Enable self-service analytics through well-structured data models and accessible data sets.
- Troubleshoot and resolve data issues proactively.
Required Qualifications
- 3-5+ years of experience as a Data Engineer or similar role.
- Strong experience with Azure data services (ADF, Databricks, ADLS, Synapse, Event Hub, etc.).
- Proficiency in SQL and experience with Python / PySpark.
- Hands‑on experience building ETL / ELT pipelines in cloud environments.
- Solid understanding of data modeling, warehousing concepts, and distributed data systems.
- Experience with version control (Git) and CI / CD for data pipelines.
To apply for this role please submit your CV or contact Dillon Blackburn on 0191 255 1428 or at .