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Data Engineer
Picture More Ltd
Norwich
On-site
GBP 50,000
Full time
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Job summary
An innovative company is seeking a Cloud Data Engineer to design and optimize cloud-based data pipelines and ETL processes. This role will involve working with cutting-edge technologies such as Azure and Power Automate, ensuring data is structured and secure for analytics. You'll have the opportunity to manage cloud data warehouses and automate workflows, all while collaborating with cross-functional teams. If you're passionate about cloud data engineering and looking for a role that offers flexibility and growth, this position is perfect for you.
Benefits
Qualifications
- 3-5 years of experience in cloud-based data engineering.
- Strong knowledge of Azure, Fabric, and Power Automate.
Responsibilities
- Develop and maintain scalable data pipelines on cloud platforms.
- Build and optimise ETL/ELT processes for data transformation.
Skills
Tools
Job description
Cloud Data Engineer
Location: Ipswich (preferred) | Colchester | Norwich | Cambridge (Hybrid - 3 days in office) GBP50,000 + Bonus
Permanent | Full-time | Hybrid and flexible working (3 days in office)
Bonus scheme and salary review (October 2025)
Private healthcare
About the Role
As the Cloud Analytics Engineer, you'll design, build, and optimise cloud-based data pipelines, ETL/ELT processes, and data warehouses. This role involves working with Azure, Fabric, and Power Automate to ensure data is structured, secure, and readily available for analytics.
Key Responsibilities
- Develop and maintain scalable data pipelines on cloud platforms (Azure, Fabric, Power Automate)
- Build and optimise ETL/ELT processes for efficient data transformation and analysis.
- Manage and enhance cloud-based data warehouses (Snowflake, Fabric, Azure)
- Ensure data security and compliance (GDPR, ISO policies, encryption best practices)
- Automate workflows using Azure Data Factory and cloud orchestration tools.
- Support and troubleshoot complex data-related issues as part of third line support.
Requirements
- 3-5 years of experience in cloud-based data engineering
- Strong knowledge of Azure, Fabric, and Power Automate
- Proficiency in SQL and Python/PySpark for querying and performance optimisation
- Experience with ETL/ELT pipelines and cloud data warehousing.
- Understanding of data security, compliance, and privacy regulations (eg, GDPR)
- Strong problem-solving skills and experience in third-line data support
- Ability to collaborate with cross-functional teams and manage multiple priorities.
To apply, please submit your CV!
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