At a Glance
- Tasks: Rebuild and optimise data pipelines using cloud-native tools for impactful digital delivery.
- Company: Join a transformative central government programme focused on data-driven decision-making.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to influence public sector change.
- Other info: Collaborative environment with a focus on AI tools and agile methodologies.
- Why this job: Make a real difference in organisational performance through innovative data solutions.
- Qualifications: Experience in automated data pipelines, Python, SQL, and cloud platforms like AWS.
The predicted salary is between 56000 - 70000 £ per year.
Are you a Senior Data Engineer with experience in modern, cloud-native data platforms and a drive to shape performance-led digital delivery? We are hiring on behalf of a central government programme undergoing a transformative journey to enhance data-driven decision-making at scale.
The Senior Data Engineer will join a multi-disciplinary team working to redefine how performance is measured and managed across a large, national directorate. The team has already delivered an MVP dashboard using Amazon QuickSight, now in active use and is moving into an exciting rebuild phase with a fully automated, code-first approach.
This is more than a dashboard project - it's a strategic initiative to improve organisational health, leadership alignment, and delivery effectiveness through better data foundations. The Senior Data Engineer plays a key role in transforming manual pipelines into scalable, automated solutions within a modern analytics platform, while embedding AI-native tools and working in lean, product-focused ways.
Key Responsibilities:- Rebuild and optimise existing data pipelines, reducing manual effort and improving reliability
- Lead on structuring data to align with performance, delivery, and leadership metrics
- Work with cloud-native tooling (AWS, dbt, Airflow) to build scalable data infrastructure
- Collaborate with digital, performance, and portfolio teams to drive cross-functional delivery
- Champion data quality, completeness, and usability at every stage of the data lifecycle
- Support experimentation with AI tools such as GitHub Copilot and ChatGPT to enhance delivery
- Strong hands-on experience building and maintaining automated data pipelines
- Advanced proficiency in Python and SQL
- Experience with dbt and strong understanding of data modelling (e.g., star schema)
- Proficient with orchestration tools such as Airflow
- Comfortable working with AWS services (Glue, S3, etc.) or similar cloud platforms
- Experience with Git, GitHub Actions and CI/CD workflows
- Confident engaging stakeholders to shape technical solutions around real-world needs
- Comfortable iterating based on user feedback and operating in agile, product-oriented teams
- Open to using AI tooling and agile delivery methodologies to enhance engineering outcomes
This is a unique chance to contribute to a high-impact public sector transformation, where your work will directly influence strategic leadership and operational performance. If you thrive in environments where data is central to decision-making and innovation is encouraged, we'd love to hear from you.
Apply now to discuss this role in more detail.
Senior Data Engineer - Cloud Pipelines (Hybrid, SC) employer: Involved Solutions
Join a forward-thinking government programme that values innovation and collaboration, where as a Senior Data Engineer, you will play a pivotal role in transforming data-driven decision-making. Enjoy a hybrid work environment that promotes flexibility, alongside opportunities for professional growth and development within a supportive team culture. With a focus on cutting-edge technology and a commitment to enhancing public sector performance, this is an exceptional opportunity to make a meaningful impact while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Cloud Pipelines (Hybrid, SC)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with cloud-native data platforms and how you've transformed manual pipelines into automated solutions. Let them see your passion for data engineering and how you can add value to their team.
✨Tailor Your Approach
Every role is unique, so make sure you tailor your conversations to highlight the skills that matter most for the Senior Data Engineer position. Talk about your experience with AWS, dbt, and orchestration tools like Airflow. Show them you’re the perfect fit for their needs!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our mission to enhance data-driven decision-making at scale.
We think you need these skills to ace Senior Data Engineer - Cloud Pipelines (Hybrid, SC)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with cloud-native data platforms and automated data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your Python, SQL, and AWS expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming data processes and how you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on projects that involved building scalable data infrastructure or using AI tools, make sure to mention them. We’re keen to see real-world examples of your work and how you’ve tackled challenges in the past.
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’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud-native tools like AWS, dbt, and Airflow. Be ready to discuss how you've used these technologies in past projects, especially in building automated data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about times when you optimised existing pipelines or improved data quality. This will demonstrate your ability to think critically and deliver results.
✨Engage with Stakeholders
Be prepared to talk about your experience working with different teams. Highlight how you've collaborated with digital and performance teams to drive cross-functional delivery. This shows you're not just a techie but also a team player.
✨Embrace AI and Agile Methodologies
Familiarise yourself with AI tools like GitHub Copilot and ChatGPT. Discuss how you've experimented with these tools to enhance your work. Also, be ready to share your experiences in agile environments, as this role values iterative feedback and adaptability.
