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Senior Data Support Engineer
William Alexander Recruitment Ltd
London
On-site
GBP 50,000 - 80,000
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Job summary
An established industry player is looking for a Senior Data Support Engineer to enhance their Business Intelligence capabilities. In this role, you will leverage your expertise in Azure Data Factory, Synapse, and SQL to develop and support data solutions that drive business insights. You'll be responsible for designing and building robust data pipelines, ensuring seamless data ingestion, and optimizing database management processes. If you're passionate about data and eager to contribute to innovative BI functions, this opportunity is perfect for you. Join a forward-thinking team where your skills will make a significant impact!
Qualifications
- Proficiency in Azure tools and strong SQL skills are essential.
- Experience in DevOps and building data pipelines is a plus.
Responsibilities
- Develop and support BI functions including Azure data warehouse.
- Design and build data pipelines focusing on API-based ingestion.
Skills
Azure Data Factory
Azure Synapse
Azure SQL
Azure Data Lake
Azure Functions
DevOps processes
Continuous Integration
Continuous Deployment
SQL
Data visualization
Tools
Power BI
Job description
Our client is seeking a Senior Data Support Engineer to develop and support their Business Intelligence (BI) functions including the Azure data warehouse.
You will be a great fit for this role if you have:
- Proficiency in Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure Functions.
- Experience with DevOps processes, including Continuous Integration and Continuous Deployment (CI/CD).
- Expertise in designing and building data pipelines, with a focus on API-based data ingestion.
- Strong expertise in database management, data modelling, and optimization.
- Advanced proficiency in SQL and experience with data visualization tools such as Power BI.
If you feel you have the right skill set to take on this fantastic opportunity, please apply. Successful candidates will be contacted within 2 working days.
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