At a Glance
- Tasks: Build and optimise a modern data platform for impactful decision-making.
- Company: Purpose-driven organisation focused on high-quality data.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team in a dynamic environment.
- Why this job: Make a real difference by improving data quality and supporting analytics.
- Qualifications: Experience with cloud-based data platforms, SQL, and Python.
The predicted salary is between 40000 - 50000 £ per year.
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.
We’re looking for someone who is curious, collaborative and driven to continuously improve. You’ll have experience working with cloud-based data platforms and tools such as SQL and Python, and be confident building robust, well-governed data solutions.
If this is a role that you would be interested in please do click the apply button.
Please note that the advert may close earlier based on the volume applications received, so we encourage you to apply as soon as possible if you are interested.
Data Engineer employer: Diabetes UK
Join a purpose-driven organisation that prioritises high-quality data to create meaningful impact. Our collaborative work culture fosters continuous improvement and innovation, providing you with ample opportunities for professional growth while working with cutting-edge cloud technologies. Located in a vibrant area, we offer a supportive environment where your contributions will directly enhance decision-making and analytics across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or solving data quality issues – it’s all about demonstrating your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and genuinely interested in joining our purpose-driven team.
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, 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 express your curiosity and collaborative spirit. Tell us why you’re excited about the opportunity to work with our data platform and how you can contribute to our mission.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've designed and developed scalable data pipelines. We love seeing how you tackle challenges and improve data quality, so share those success stories!
Apply Early!:Don’t wait until the last minute to submit your application. We encourage you to apply as soon as possible since the advert may close early due to high volumes of applications. Get your application in through our website and stand out from the crowd!
How to prepare for a job interview at Diabetes UK
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to build data pipelines or improve data quality. This shows you're not just familiar with the tech, but you can apply it effectively.
✨Understand Cloud Technologies
Since the role involves modern cloud technologies, do some research on Microsoft Fabric and other relevant platforms. Being able to talk about how you've worked with cloud-based data solutions will impress the interviewers and show that you're proactive.
✨Show Your Collaborative Spirit
This position requires working closely with various teams. Prepare examples of how you've successfully collaborated in the past, especially in cross-functional settings. Highlighting your teamwork skills will demonstrate that you fit well within their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the organisation's data strategy and how they envision the role contributing to it. This not only shows your interest but also your understanding of the importance of data in decision-making. It’s a great way to engage with the interviewers!
