Data Engineer (Azure) - Remote Contract Position
About the Role
We’re looking for a talented Data Engineer (Azure) remote to join our team on a contract basis. As a Data Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines and solutions within Azure. This is a fully remote position, allowing you to work from anywhere in the UK while contributing to exciting projects.
What You'll Do
- Design, build, and optimize ETL pipelines to ensure efficient data processing.
- Utilize Azure Data Factory and other Azure data services to create scalable data solutions.
- Write and tune complex SQL queries for data retrieval and manipulation.
- Support data integrations, ensuring that data is reliable, secure, and accessible.
- Collaborate with analysts, developers, and stakeholders to deliver high-quality data solutions.
Requirements
- Strong commercial experience with Azure Data Factory.
- Solid background in ETL development and data pipelines.
- Excellent SQL skills, including querying, optimization, and performance tuning.
- Hands-on experience with Azure cloud services.
- Ability to work independently and manage multiple tasks effectively.
Nice to Have
- Experience with data warehousing concepts.
- Familiarity with data governance and data quality frameworks.
- Knowledge of Python or other programming languages for data manipulation.
What We Offer
- Competitive day rate of £300–£450 (Inside IR35).
- Fully remote work environment.
- Opportunity for contract extension based on performance.
- Access to a collaborative team of professionals.
- Flexible working hours to maintain work-life balance.
This remote Data Engineer (Azure) position offers a competitive day rate and the flexibility to work from anywhere in the UK. Join a collaborative team and contribute to exciting projects.
Who Will Succeed Here
Proficiency in Azure Data Factory and SQL, with hands-on experience in building and optimizing ETL pipelines that integrate various data sources into Azure services.
Self-motivated and disciplined, able to manage tasks independently in a fully remote work environment while meeting project deadlines and maintaining high-quality standards.
Strong analytical mindset with a focus on data-driven decision making, capable of troubleshooting and optimizing data pipelines to enhance performance and reliability.
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