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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: Strong experience in Python, Spark, SQL, and Cloud platforms.
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 - 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 - SQL, Python in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, Spark, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss your experience with Cloud platforms like Azure, AWS, or GCP.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer - 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, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially in data architecture and modelling.
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. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Cloud Experience
Since the role requires experience with Cloud platforms like Azure, AWS, or GCP, be prepared to talk about your hands-on experience. Share specific examples of how you've deployed data solutions in the cloud and any challenges you faced along the way. This will demonstrate your practical knowledge and problem-solving skills.
✨Understand the Medallion Framework
Familiarise yourself with the Medallion Architecture and Delta Lake concepts. Be ready to explain how you would implement these in a real-world scenario. This shows that you not only understand the theory but can also think critically about applying it in practice.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data transformation programme and how they envision the Data Engineer's role evolving. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.