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- Tasks: Build scalable data pipelines and lead exciting projects in a collaborative team.
- Company: Leading connected car services provider with a focus on innovation.
- Benefits: Flexible working, private health insurance, and a strong pension scheme.
- Why this job: Join a dynamic team and shape the future of mobility with your skills.
- Qualifications: Proficient in Python, experienced with Apache Spark, AWS, and Linux.
The predicted salary is between 36000 - 60000 £ per year.
A leading connected car services provider is looking for a Senior Data Engineer to join their Data Science team. You will develop scalable big data processing pipelines and lead initiatives in a collaborative environment.
Required skills include:
- High proficiency in Python
- Experience with Apache Spark
- Strong command of AWS and Linux
The role offers flexible working arrangements and various employee benefits, including private health insurance and a robust pension scheme.
Senior Data Engineer — Real-Time Pipelines for Mobility in City of London employer: Parkopedia
Contact Detail:
Parkopedia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Real-Time Pipelines for Mobility in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Apache Spark, and AWS. 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 your technical skills and understanding real-time data processing. Practice common interview questions related to big data and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Real-Time Pipelines for Mobility in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python, Apache Spark, and AWS in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention any relevant projects or experiences that demonstrate your ability to develop scalable big data processing pipelines. We love seeing how you fit into our team!
Be Collaborative: Since we value teamwork, share examples of how you've worked collaboratively in previous roles. Whether it’s leading a project or contributing to a team effort, let us know how you thrive in a collaborative environment.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Parkopedia
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially around data manipulation and processing. Familiarise yourself with Apache Spark and be ready to discuss how you've used it in past projects. The more confident you are with these technologies, the better you'll impress them!
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building data pipelines. Think about how you approached these problems and what solutions you implemented. This will demonstrate your ability to think critically and work collaboratively in a team.
✨Understand the Company’s Vision
Research the connected car services provider and understand their mission and values. Be ready to explain how your role as a Senior Data Engineer fits into their goals, particularly in relation to mobility and real-time data processing.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, the tech stack they use, and the projects you might be working on. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your expectations.
