At a Glance
- Tasks: Design and develop scalable data pipelines using modern cloud technologies.
- Company: Purpose-driven organisation focused on high-quality data impact.
- Benefits: Flexible hybrid working, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement.
- Why this job: Shape the future of data capabilities and make a real difference.
- Qualifications: Experience with SQL, Python, and cloud-based data platforms.
The predicted salary is between 40000 - 50000 £ per year.
We’re looking for a talented Data Engineer to join our team and help shape the future of our data capabilities. This is an exciting opportunity to work in a purpose-driven organisation where high-quality data is central to delivering impact. You’ll play a key role in building and optimising our modern data platform, ensuring our data is reliable, secure and accessible for decision-making across the organisation. In this hands-on role, you’ll design and develop scalable data pipelines, working across ingestion, integration and transformation using modern cloud technologies. You’ll collaborate closely with colleagues across IT, Digital and Information Governance to embed strong data engineering practices, improve data quality and support the transition to Microsoft Fabric. You’ll also help enable colleagues to make better use of data by supporting analytics and reporting.
Responsibilities
- Design and develop scalable data pipelines for ingestion, integration and transformation.
- Build and optimise a modern data platform to ensure data reliability, security and accessibility for decision-making.
- Collaborate with IT, Digital and Information Governance to embed strong data engineering practices and improve data quality.
- Support the transition to Microsoft Fabric and enable analytics and reporting across the organisation.
- Work with cloud-based data platforms and tools to deliver robust, well-governed data solutions.
Qualifications
- Experience with cloud-based data platforms and tools such as SQL and Python.
- Ability to design, build and govern data pipelines and data solutions robustly.
- Curious, collaborative and driven to continuously improve data capabilities.
We have a friendly and inclusive working environment and a hybrid approach which allows flexibility in how we work. This means you can balance your working time between home and the office, subject to the needs of your role.
Data Engineer employer: Diabetes UK
Join a purpose-driven organisation that prioritises high-quality data to make a meaningful impact. As a Data Engineer, you'll thrive in a friendly and inclusive work culture that embraces flexibility through a hybrid working model, allowing you to balance your time between home and the office. With ample opportunities for professional growth and collaboration across teams, this role offers a unique chance to enhance your skills while contributing to vital data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. We recommend practising common data engineering scenarios and being ready to discuss your experience with SQL and Python. Show them you’re the right fit!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a GitHub repo or a personal website, we want to see what you’ve built. This is your chance to demonstrate your skills and passion for data engineering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with cloud-based data platforms and tools like SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our mission. Be genuine and let your personality come through – we love a bit of character!
Showcase Your Collaboration Skills:Since this role involves working closely with IT, Digital, and Information Governance teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can bring that spirit to our team!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Diabetes UK
✨Know Your Data Tools
Make sure you brush up on your knowledge of cloud-based data platforms and tools like SQL and Python. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and built data pipelines or solutions. Think about challenges you faced and how you overcame them, as this demonstrates your ability to think critically and adapt in a fast-paced environment.
✨Collaboration is Key
Since the role involves working closely with IT, Digital, and Information Governance teams, be ready to talk about your collaborative experiences. Highlight instances where teamwork led to improved data quality or successful project outcomes, showing that you're a team player.
✨Embrace Continuous Improvement
Express your curiosity and drive for continuous improvement in data capabilities. Share any initiatives you've taken to enhance data practices or your own skills, as this aligns with the organisation's purpose-driven approach and commitment to high-quality data.
