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- Tasks: Design and build scalable data pipelines and internal tools for large-scale data processing.
- Company: Join a global tech leader with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data workflows and enhancing system efficiency.
- Qualifications: Strong programming skills in Python and experience with distributed systems.
- Other info: Dynamic role with opportunities to mentor and lead infrastructure initiatives.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Infrastructure Lead / Senior Software Engineer to help our client, a global multinational technology company, build and scale the internal systems that power large-scale data processing and operational workflows. In this role, you will design and operate high-throughput data pipelines, distributed services, and internal tools that support teams working with complex datasets and high-volume task processing.
- Build scalable data pipelines; design and implement high-volume data processing pipelines that ingest, transform, and distribute large datasets.
- Build modular backend services and platform components that support evolving data workflows.
- Develop storage abstraction layers that allow services to interact with multiple underlying data systems.
- Implement mechanisms to ensure data consistency, deduplication, and integrity across distributed workflows.
- Work with infrastructure and security teams to ensure secure service communication and controlled data access.
- Improve workflow efficiency by automating repetitive processes and enabling self-service data operations.
- Establish engineering best practices for code quality, testing, and maintainable system design.
- Implement monitoring and diagnostic tools to provide visibility into pipeline performance and system health.
Strong programming experience, including a mastery of Python, as well as experience with similar backend languages. Experience building distributed systems or large-scale data pipelines. Solid knowledge of SQL and working with large datasets. Experience operating containerised infrastructure or production data platforms. Several years of experience building backend infrastructure, data platforms, or internal tooling. Experience operating production systems handling large volumes of data or tasks. Experience building internal platforms used by analysts, operations teams, or data specialists. Exposure to automation systems or AI-assisted tooling. Background mentoring engineers or leading infrastructure initiatives.
Locations
Infrastructure Lead / Senior Software Engineer - Data Platforms & Internal Tooling in Lincoln, Lincolnshire employer: RGP
Contact Detail:
RGP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure Lead / Senior Software Engineer - Data Platforms & Internal Tooling in Lincoln, Lincolnshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for opportunities. Attend meetups or tech events where you can chat with folks who might know about openings that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data pipelines and backend services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to infrastructure and data platforms. Practice explaining your thought process clearly, as communication is key in these roles.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Infrastructure Lead / Senior Software Engineer - Data Platforms & Internal Tooling in Lincoln, Lincolnshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data pipelines, backend services, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Don’t forget to mention your experience with Python and large datasets – we love that stuff!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building scalable data pipelines or developing internal tools, we want to see what you've accomplished and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at RGP
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss your experience with building scalable data pipelines and distributed systems. Prepare examples of past projects where you’ve designed high-throughput data processing solutions.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle some technical challenges or case studies. Think about how you would approach automating repetitive processes or ensuring data integrity across workflows. This is your chance to demonstrate your analytical thinking and creativity!
✨Highlight Your Leadership Experience
If you've mentored engineers or led infrastructure initiatives, make sure to share those experiences. Talk about how you’ve established engineering best practices or improved workflow efficiency. Companies love candidates who can inspire and guide their teams.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data platforms and internal tooling strategies. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Plus, it gives you a chance to assess if the company is the right fit for you!