Role:Senior Data Engineer

Salary:£60,000 Upwards

Location:Manchester

I am seeking a highly skilled and motivated Data Engineer to play a key role in my client's transformation journey. You will be responsible for leading the build, optimise, and maintain data applications, systems, and services tailored to client needs. Looking at the Cloud Platform, contributing to the design, development, and implementation of cutting-edge data solutions.

Join us and be part of a growing team that thrives on solving meaningful challenges while fostering a culture of innovation and learning.

About the Role

We are advocates of working on high-impact projects, leveraging their expertise to help clients unlock insights, drive decisions, and deliver measurable business value.

As a Data Engineer, you’ll combine software engineering discipline with a deep understanding of data systems. You’ll play a pivotal role in deploying production-safe data pipelines, crafting modern data platforms, and contributing to a culture of collaboration and technical excellence.

What You’ll Do

• Build, optimise, 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.

Key Skills and Experience:

• Strong foundation in Python with experience writing object-oriented, testable code.
• Proficiency with CI/CD tooling for analysing, building, testing, and deploying code.
• A 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 optimisation, validation, logging, monitoring, and alerting.

If this sounds like something you are interested in, please get in contact:

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.