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- Tasks: Design and develop robust data pipelines using Python, Spark, and SQL.
- Company: Leading UK enterprise focused on data transformation and innovation.
- 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 solutions.
- Qualifications: Experience in Python, Spark, SQL, and Cloud platforms is 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. Experience working with Delta Lake and Medallion Architecture is highly desirable. 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
Applicants must be based in the UK and have the right to work in the UK.
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 - Python, Spark, SQL in Milton Keynes employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python, Spark, SQL in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Python, Spark, and SQL. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving Data Modelling, Delta Lake, and Cloud platforms. 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. Be ready to discuss your experience with Data Architecture and how you've tackled challenges using Python and Spark. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our innovative team.
We think you need these skills to ace Data Engineer - Python, Spark, SQL 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 used these skills in real projects, so don’t hold back on the details!
Showcase Your Projects: If you've worked on any data pipelines or architecture projects, be sure to include them. We love seeing practical examples of your work, especially if they involve Delta Lake or Cloud platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about this role and how your skills align with our needs. Keep it engaging and personal – we want to get to know you!
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 this exciting opportunity. We can’t wait to hear from you!
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, as these will likely come up during the interview. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Cloud Experience
Since experience with Cloud platforms like Azure, AWS, or GCP is essential, 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 Medallion and Delta Lake
Familiarise yourself with the Medallion Architecture and Delta Lake concepts. Be prepared to explain how these frameworks can enhance data reliability and consistency. If you have practical examples, share them to show your hands-on experience.
✨Emphasise Collaboration
This role values collaboration, so be ready to discuss how you’ve worked in teams to deliver data solutions. Share experiences where you contributed to a project’s success through teamwork, communication, and innovation.