Our client, a prominent player in the technology sector, is looking for a Data Engineer to join their team on a contract basis. This opportunity involves working full-time from 12th January 2026 until 31st March 2026, with the flexibility of working within the UK and occasional travel to London St. Paul's.
Key Responsibilities:
- Designing and implementing data architecture solutions using Lakehouse methodologies.
- Developing and managing data pipelines with Azure Data Factory.
- Leveraging Azure Databricks for large-scale data processing and analytics.
- Integrating and processing real-time data streams using Azure Event Hubs and Azure Service Bus.
- Utilising Azure Functions for serverless computing capabilities.
- Writing efficient SQL scripts and Python code for data manipulation and analysis.
- Implementing infrastructure as code with Terraform, and managing deployments with Azure DevOps.
- Conducting CI/CD processes, using git for version control, and scripting with Bash and PowerShell.
Job Requirements:
- Experience in data engineering and data architecture.
- Proficiency with Lakehouse, Azure Data Factory, Azure Databricks, Azure Event Hubs, and Azure Service Bus.
- Strong programming skills in SQL, Python, and Spark.
- Familiarity with Terraform for infrastructure as code and Azure DevOps for CI/CD pipeline management.
- Understanding of git for version control and scripting with Bash and PowerShell.
- Ability to travel occasionally to London St. Paul's.
- Relevant technical degree or equivalent qualification is advantageous.
Benefits:
- Engagement in a full-time contract with a leading technology firm.
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
If you are an experienced Data Engineer with a strong background in the specified skills and are ready for a new and exciting challenge, we would love to hear from you. Apply now to contribute to our client's innovative projects across the UK.
