At a Glance
- Tasks: Rebuild and optimise data pipelines, enhancing performance and reliability.
- Company: Join a transformative central government programme focused on data-driven decision-making.
- Benefits: Competitive rate of £700/day, hybrid work, and impactful projects.
- Other info: Collaborative environment with opportunities to experiment with AI tools.
- Why this job: Make a real difference in public sector transformation through innovative data solutions.
- Qualifications: Strong experience in automated data pipelines, Python, SQL, and cloud platforms.
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 - £700/day Inside - 4 Months + Ext employer: Involved Solutions
Join a forward-thinking central government programme as a Senior Data Engineer, where your expertise will drive transformative data initiatives that enhance decision-making at scale. Enjoy a collaborative work culture that values innovation and offers opportunities for professional growth, all while contributing to meaningful public sector projects. With a hybrid working model and the chance to work with cutting-edge cloud technologies, this role provides a unique platform to make a significant impact in the realm of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - £700/day Inside - 4 Months + Ext
✨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 role you want. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving cloud-native data platforms or automated pipelines. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data engineering. Be ready to discuss how you've tackled challenges in previous roles, especially around building scalable solutions or using AI tools. Confidence is key!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Senior Data Engineer role. We’re excited to see what you can do!
We think you need these skills to ace Senior Data Engineer - £700/day Inside - 4 Months + Ext
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with automated data pipelines, Python, SQL, and cloud-native tools like AWS. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming data delivery and how your experience aligns with our goals. Keep it engaging and relevant to the Senior Data Engineer role.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving data pipelines or AI tools, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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’s super easy!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the specific tools mentioned in the job description, like AWS, dbt, and Airflow. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you've transformed manual data pipelines into automated solutions. Be ready to explain your thought process and the impact of your work on performance metrics.
✨Engage with Stakeholders
Since the role involves collaborating with various teams, think of examples where you've successfully engaged stakeholders. Highlight how you shaped technical solutions based on their needs and feedback.
✨Embrace AI Tools
Familiarise yourself with AI tools like GitHub Copilot and ChatGPT. Be prepared to discuss how you’ve used or plan to use these tools to enhance your engineering outcomes, as this aligns with the innovative spirit of the role.
