Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build robust data pipelines for top tech clients.
- Company: Exciting consultancy known for high-profile consumer applications.
- Benefits: Competitive day rate, flexible work, and a dynamic team environment.
- Why this job: Join a leading consultancy and make an impact with cloud-native data solutions.
- Qualifications: Strong Python and SQL skills, plus experience with cloud data services.
- Other info: 3-month contract with potential for growth in a diverse workplace.
The predicted salary is between 40000 - 60000 £ per year.
Azure Data Engineer UK Remote (with occasional travel) This is an exciting Senior Data Engineering role with one of the UK’s fastest-growing AI and Data transformation partners. In return for an exceptional package, flexible work and remote-first, you will get the chance to play a key role in the development of Azure data platforms for the leading Governmental, Retail and Technology clients across the UK. In return, you will receive an exceptional package with great benefits and a market-leading salary with bonuses etc. Salary is from £60,000 – £70,000 depending on experience. This role would see you immersed in the very latest and best of cloud-first, data-engineering and data-architecture. We really need an Azure expert who lives and breathes the Microsoft data ecosystem, covering tools like Data Factory, Data Blocks, Azure SQL, and much more. The Data & AI arm of this organisation is seeing exceptional growth, with a number of high-profile projects kicking off. As one of the principal owners of their MS Azure data strategy and architecture, you would be responsible for:
The skills we are looking for include:
The role is mostly remote but we need you to be close enough to travel to their Glasgow or Reading office when needed. Please note there is no sponsorship available for this role. Does this sound like your next challenge? Or perhaps you’ve read this and know exactly who’s looking for this task? If so, get in touch or click apply for immediate consideration. Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Senior Data Engineer employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving cloud platforms like AWS or Azure. We want to see your hands-on experience with tools like dbt or Airflow, so make sure to highlight those in conversations.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you’ve collaborated with teams. We’re all about that consultancy mindset, so be ready to demonstrate your adaptability and delivery focus.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our growing Data Practice, so take that leap and submit your application today!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and cloud platforms like AWS or Azure. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this consultancy role. Share specific examples of your past projects that demonstrate your data engineering expertise.
Showcase Your Consultancy Mindset: We love candidates who are adaptable and collaborative. In your application, mention experiences where you've worked in teams or adapted to changing requirements. This will show us you have the right mindset for our dynamic environment.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Bright Purple
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of AWS Glue, Azure Data Factory, and GCP Dataflow, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and built data pipelines or optimised data architectures. Be ready to explain your role, the challenges you faced, and how you delivered real business value through your work.
✨Demonstrate Your Consultancy Mindset
Since the role requires a consultancy mindset, think about examples that showcase your adaptability and collaboration skills. Highlight experiences where you worked with multidisciplinary teams to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
