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Job Title: Data Engineer
Duration: 12 months (with potential extension)
Workload: Full-time hours
Setup: Freelance Inside ir35
Location: London Hybrid – (3 days onsite, 2 days remote)
Overview:
We are seeking a highly skilled Data Engineer to design and deliver robust, high-performance data pipelines and enable advanced analytics for business-critical insights.
The Role:
As a Data Engineer, you will play a key role in designing, developing, and maintaining robust cloud-based data solutions. You'll collaborate closely with technical and business stakeholders to build efficient, reliable, and scalable data platforms that enable data-driven decision making. You'll work with cutting-edge Azure technologies, leveraging Databricks and Data Factory to create high-performing data pipelines and processing frameworks.
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Key Responsibilities:
- Design, develop, and maintain scalable data engineering solutions using Azure Databricks
- Build and optimize enterprise-grade data pipelines using Azure Data Factory
- Process and transform large-scale datasets containing millions of records
- Drive performance tuning and optimization across distributed data processing environments
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
- Participate in architecture discussions and contribute to best practice implementation
- Ensure high standards of code quality, testing, documentation, and maintainability
- Identify and resolve technical issues, escalating risks where appropriate
- Work within Agile delivery teams to deliver high-quality data solutions
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Required Experience:
- 6+ years of experience in Data Engineering, Data Platform Engineering, or related fields
- Strong hands-on experience with Azure Databricks
- Deep understanding of Azure Data Factory
- Proven experience developing and optimizing large-scale ETL/ELT processes
- Strong knowledge of data processing concepts and distributed computing
- Hands-on experience with Scala
- Experience working within Microsoft Azure cloud environments
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management abilities
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