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- Tasks: Lead the build and optimization of data applications and systems for clients.
- Company: Join SPG Resourcing, a company focused on innovation and meaningful challenges.
- Benefits: Enjoy a culture of learning, collaboration, and high-impact projects.
- Why this job: Be part of a team that drives decisions and delivers measurable business value.
- Qualifications: Strong Python skills, experience with CI/CD, and cloud platforms like AWS or Azure required.
- Other info: SPG Resourcing values diversity and offers reasonable accommodations throughout the hiring process.
The predicted salary is between 48000 - 72000 £ per year.
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:
thomas.deakin@spgresourcing.com
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.
SPG Resourcing | Senior Data Engineer employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SPG Resourcing | Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific cloud platforms mentioned in the job description, such as AWS, Azure, or GCP. Having hands-on experience or projects that showcase your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with data services like Databricks, Data Factory, or Kafka. Being able to discuss how you've used these tools in past projects will demonstrate your practical knowledge and readiness for the role.
✨Tip Number 3
Prepare to discuss your approach to building and optimizing data pipelines. Be ready to share specific examples of challenges you've faced and how you overcame them, as this shows your problem-solving skills and technical expertise.
✨Tip Number 4
Since the role emphasizes collaboration within agile teams, think about your experiences working in multidisciplinary teams. Be prepared to share how you contributed to team success and fostered a culture of innovation and learning.
We think you need these skills to ace SPG Resourcing | Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in Python, cloud platforms, and data engineering principles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to build and optimize data applications.
Showcase Technical Skills: In your application, emphasize your proficiency with CI/CD tooling, data storage design principles, and experience with various data services like Databricks and AWS. Provide examples of how you've applied these skills in past roles.
Highlight Collaboration Experience: Since the role involves working within agile, multidisciplinary teams, mention any relevant teamwork experiences. Discuss how you contributed to collaborative projects and the impact they had on client operations.
How to prepare for a job interview at SPG Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and cloud platforms like AWS, Azure, or GCP. Highlight specific projects where you built or optimized data applications, and be ready to explain the coding best practices you followed.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to solve complex data challenges. Share examples of how you've tackled issues in previous roles, particularly those involving data pipelines and workflows.
✨Familiarize Yourself with Agile Methodologies
Since the role involves working within agile teams, brush up on agile principles and be ready to discuss your experience collaborating in multidisciplinary teams. Mention any specific tools or practices you’ve used.
✨Prepare Questions About the Company Culture
SPG Resourcing values innovation and collaboration. Prepare thoughtful questions about their team dynamics and how they foster a culture of learning. This shows your interest in not just the role, but also the company environment.
