Senior Data Engineer
Posted 1 day ago by djr
£70 Per hour
Outside
Hybrid
Manchester, England, United Kingdom
Summary: The Senior Data Engineer role focuses on building and maintaining scalable data pipelines within an Azure-based data platform for an enterprise data platform. The position requires collaboration with product, data, and business teams to deliver high-quality data solutions. The role is hybrid, requiring one day per week onsite in Manchester, and is offered on a 6-month contract basis. The position is classified as outside IR35 with a competitive daily rate.
Key Responsibilities:
- Build and maintain data pipelines for structured and unstructured data
- Develop ELT workflows using Azure Databricks (PySpark)
- Write performant SQL and apply good data modelling practices
- Support batch and near–real-time data processing use cases
- Work with Azure services such as Event Hubs, Storage Accounts, and Key Vault
- Contribute to data governance and security best practices
- Collaborate with stakeholders to gather requirements and deliver pragmatic solutions
Key Skills:
- Strong experience as a Data Engineer in an Azure environment
- Hands-on Databricks and PySpark development experience
- Solid SQL and relational database knowledge
- Experience supporting data pipelines in production environments
- Good communication skills and ability to work with non-technical stakeholders
- Exposure to streaming solutions (Structured Streaming, Auto Loader) - nice to have
- Experience with Unity Catalog or data governance tooling - nice to have
- Salesforce or Data Cloud integrations - nice to have
Salary (Rate): £550.00 daily
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior Data Engineer (Azure / Databricks) £550/day Outside IR35 Manchester – Hybrid (1 day per week onsite) 6-month contract
We are seeking a Senior Data Engineer to join a Product & Technology team supporting an enterprise data platform used for analytics, reporting, and data-driven decision-making across the business. This role will focus on building and maintaining scalable data pipelines within an Azure-based data platform, working closely with product, data, and business teams to deliver reliable and high-quality data solutions.
Responsibilities
- Build and maintain data pipelines for structured and unstructured data
- Develop ELT workflows using Azure Databricks (PySpark)
- Write performant SQL and apply good data modelling practices
- Support batch and near–real-time data processing use cases
- Work with Azure services such as Event Hubs, Storage Accounts, and Key Vault
- Contribute to data governance and security best practices
- Collaborate with stakeholders to gather requirements and deliver pragmatic solutions
Required experience
- Strong experience as a Data Engineer in an Azure environment
- Hands-on Databricks and PySpark development experience
- Solid SQL and relational database knowledge
- Experience supporting data pipelines in production environments
- Good communication skills and ability to work with non-technical stakeholders
Nice to have
- Exposure to streaming solutions (Structured Streaming, Auto Loader)
- Experience with Unity Catalog or data governance tooling
- Salesforce or Data Cloud integrations
Contract details
£550/day Outside IR35 6-month contract Hybrid working: 1 day per week onsite in Manchester Immediate or short-notice starters preferred