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- Tasks: Design and develop robust data pipelines using Python, Spark, and SQL.
- Company: Leading UK enterprise undergoing a major data transformation.
- Benefits: Competitive salary, bonus, pension, and hybrid working options.
- Other info: Gain exposure to enterprise-scale Data Architecture and advanced tools.
- Why this job: Join a collaborative team and shape the future of data innovation.
- Qualifications: Experience in Python, Spark, SQL, and Cloud platforms essential.
The predicted salary is between 50000 - 65000 £ per year.
Our client is a leading UK enterprise undergoing a major data transformation programme and is seeking a talented Data Engineer to join their growing technology team. This is an exciting opportunity for a Data Engineer to work on cutting-edge platforms and help shape the future of data across the organisation.
As a Data Engineer, you will play a key role in delivering scalable and reliable data solutions. The successful Data Engineer will work across Data Architecture, contributing to the design and optimisation of systems that leverage Python, Spark, and SQL to build high-performance pipelines. This Data Engineer position offers the chance to work in a collaborative, forward-thinking environment.
Data Engineer applicants should have strong experience in Python, Spark, and SQL, alongside solid expertise in Data Modelling and modern Data Architecture principles. Exposure to Cloud (Azure, AWS or GCP) platforms is essential for any Data Engineer looking to succeed in this role.
In this role, the Data Engineer will design and develop robust pipelines using Python and Spark, ensuring high-quality data delivery through efficient use of SQL and scalable Data Architecture. You will apply best practices in Data Modelling, working within a Medallion framework and leveraging Delta Lake to ensure consistency and reliability across datasets. The Data Engineer will also work extensively with Cloud (Azure, AWS or GCP) technologies to deploy and maintain data solutions.
This is a fantastic opportunity for a Data Engineer to join a business that values innovation, collaboration, and continuous improvement. You will gain exposure to enterprise-scale Data Architecture, enhance your Data Modelling skills, and work with advanced tools such as Spark, Delta Lake, and modern Cloud (Azure, AWS or GCP) platforms.
Location: Milton Keynes, UK / Hybrid Working (2-3 times a month in office)
Salary: Competitive + Bonus + Pension + Benefits
If you are a Data Engineer with strong skills in Python, Spark, SQL, and Data Modelling, and experience working with Cloud (Azure, AWS or GCP), Delta Lake, Medallion, and Data Architecture, then apply today!
Data Engineer - AWS, SQL, PYTHON in Milton Keynes employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AWS, SQL, PYTHON in Milton Keynes
✨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 data game. You never know who might have a lead on that perfect Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience with Python, Spark, and SQL—show it! Create a portfolio of projects or contribute to open-source work. This way, you can demonstrate your expertise and passion for data engineering when you land those interviews.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding data architecture principles. Practice common interview questions related to data modelling and cloud technologies. Confidence is key, so walk in ready to impress!
✨Apply Through Us!
We’ve got your back! Check out our website for the latest Data Engineer openings. Applying through us not only gives you access to great roles but also means you’re part of a community that values innovation and collaboration in the tech space.
We think you need these skills to ace Data Engineer - AWS, SQL, PYTHON in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Spark, and SQL. We want to see how you've applied these skills in real-world scenarios, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this Data Engineer role and how your background aligns with our tech stack. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any relevant projects, be sure to mention them! Whether it's building data pipelines or optimising data architecture, we love seeing practical examples of your work.
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!
How to prepare for a job interview at Noir
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Spark, and SQL. Brush up on your knowledge of Data Modelling and Data Architecture principles. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience.
✨Showcase Your Cloud Experience
Since the role requires expertise in Cloud platforms like AWS, Azure, or GCP, prepare examples of how you've deployed data solutions in the cloud. Highlight any specific challenges you faced and how you overcame them to demonstrate your problem-solving skills.
✨Understand the Medallion Framework
Familiarise yourself with the Medallion Architecture and Delta Lake concepts. Be prepared to explain how you would apply these frameworks in real-world scenarios, as this will showcase your understanding of modern data practices.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data transformation programme and their approach to innovation. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.