Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines using Hadoop and Spark technologies.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Experience with Hadoop, Spark, and programming in Scala, Java, or Python.
- Other info: Dynamic team environment with great potential for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Experienced in designing and building data pipelines using Hadoop and Spark technologies.
Proficient in programming languages such as Scala, Java, or Python.
Experienced in designing, building, and maintaining scalable data pipelines and applications.
Senior Data Engineer — Spark, Hadoop & Scala in City of London employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Spark, Hadoop & Scala in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Hadoop and Spark. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and applications. Use GitHub or a personal website to demonstrate your expertise in Scala, Java, or Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data engineering concepts. Practice coding challenges related to Hadoop and Spark. We recommend using platforms that simulate real interview scenarios to get you ready.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer — Spark, Hadoop & Scala in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Hadoop, Spark, and Scala. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool data pipelines or applications, make sure to mention them! We love seeing real-world examples of your work, especially if they involve the technologies we use.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at WorksHub
✨Know Your Tech Stack
Make sure you’re well-versed in Hadoop, Spark, and Scala. Brush up on your knowledge of these technologies and be ready to discuss specific projects where you've used them. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced while building data pipelines. Think about how you approached these problems and what solutions you implemented. This demonstrates your ability to think critically and adapt in a fast-paced environment.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of data engineering concepts. Practice explaining complex ideas simply, as this shows your depth of knowledge and your ability to communicate effectively with both technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and future projects. This not only shows your interest in the role but also gives you insight into whether the company aligns with your career goals and values.
