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- Tasks: Build and maintain scalable data pipelines for large datasets.
- Company: Leading tech solutions provider in the UK with a focus on innovation.
- Benefits: Flexible remote options, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge AI/ML technologies.
- Qualifications: Strong background in data engineering and experience with big data technologies like Spark.
- Other info: Onsite 3 days a week in Edinburgh with a collaborative work culture.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology solutions provider in the UK is looking for a skilled Data Engineer to build and maintain scalable data pipelines for large datasets. You will work closely with AI/ML teams and ensure the quality and performance of data. The role demands a strong background in data engineering and experience with big data technologies like Spark. The position is onsite 3 days per week in Edinburgh, offering flexible remote options as well.
Senior Data Engineer - Scalable Pipelines (Edinburgh/Hybrid) employer: WorkGenius Group
Contact Detail:
WorkGenius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Scalable Pipelines (Edinburgh/Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data engineering. Attend meetups or webinars related to big data technologies and connect with people on LinkedIn. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable data pipelines or big data tools like Spark. 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 past projects and how you tackled challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates all in one place.
We think you need these skills to ace Senior Data Engineer - Scalable Pipelines (Edinburgh/Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and big data technologies like Spark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data pipelines and how you can contribute to our AI/ML teams. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of challenges you've faced in data engineering and how you tackled them. We love seeing how you approach problems and find solutions, especially in a fast-paced environment.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at WorkGenius Group
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with big data technologies like Spark, as well as any projects where you've built scalable data pipelines. This will show that you have the technical chops for the role.
✨Showcase Collaboration Skills
Since you'll be working closely with AI/ML teams, it's crucial to highlight your teamwork abilities. Prepare examples of how you've collaborated with other departments in the past, especially in projects involving data quality and performance.
✨Prepare for Technical Questions
Expect some technical questions during the interview. We recommend practising common data engineering scenarios and problems, particularly those related to scalability and performance. This will help you demonstrate your problem-solving skills effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current data challenges or how they integrate AI/ML into their processes. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
