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- Build, optimize, and maintain data applications, systems, and services tailored to client needs.
- Design and deploy data pipelines and workflows programmatically, ensuring reliability and scalability.
- Apply coding best practices, including version control, dependency management, testing, and error handling.
- Leverage cloud platforms like AWS, Azure, or GCP, and data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, and Cloud Data Fusion.
- Utilize parallel computing to process large datasets and optimize computationally intensive tasks.
- Work within agile, multidisciplinary teams to deliver solutions that make a tangible impact on client operations.
- Strong foundation in Python with experience writing object-oriented, testable code.
- Proficiency with CI/CD tooling for analyzing, building, testing, and deploying code.
- Solid understanding of design principles for data storage and processing, particularly in cloud environments.
- Experience in programmatically deploying, scheduling, and monitoring workflows.
- Expertise in writing complex queries for relational (SQL) and non-relational (NoSQL) data stores.
- Familiarity with code optimization, validation, logging, monitoring, and alerting.
Senior Data Engineer - Manchester - SPG Resourcing

Description
Senior Data Engineer
We are seeking a highly skilled and motivated Senior Data Engineer to play a key role in our transformation journey.
You will be responsible for leading the build, optimize, and maintain data applications, systems, and services tailored to client needs. This includes contributing to the design, development, and implementation of cutting-edge data solutions on the Cloud Platform.
About the Role
We advocate working on high-impact projects, leveraging expertise to help clients unlock insights, drive decisions, and deliver measurable business value.
As a Senior Data Engineer, you will combine software engineering discipline with a deep understanding of data systems. You will play a pivotal role in deploying production-safe data pipelines, crafting modern data platforms, and contributing to a culture of collaboration and technical excellence.
Key Responsibilities
Requirements
Salary: £60,000 Upwards
Location: Manchester
Estimated Salary: Based on the title, job description, and location, the estimated salary for this position is £60,000 upwards.
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