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- Tasks: Build and enhance data pipelines for a high-performance data ecosystem.
- Company: Leading financial services provider in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial sector with cutting-edge technology.
- Qualifications: Experience with Spark, AWS, and strong problem-solving abilities.
- Other info: Collaborative environment with a focus on modern data technologies.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services provider in London is looking for a Data Engineer. In this role, you will develop and improve ingestion and transformation pipelines, ensuring data flows reliably and efficiently.
Essential skills include:
- Hands-on experience with modern data technologies such as Spark and AWS
- Strong problem-solving skills
- A collaborative spirit
This position offers a hybrid work environment and focuses on building a high-performance data ecosystem.
Data Engineer: Scalable Pipelines & Data Lake (Hybrid) employer: NewDay Ltd
Contact Detail:
NewDay Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Scalable Pipelines & Data Lake (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Spark and AWS. We want to see how you’ve tackled real-world problems and built scalable pipelines. This will definitely make you stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your problem-solving skills and be ready to discuss your experience with data ingestion and transformation. We suggest practicing common technical questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way, so let’s get you that Data Engineer position!
We think you need these skills to ace Data Engineer: Scalable Pipelines & Data Lake (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data technologies like Spark and AWS. 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 data engineering and how you can contribute to our high-performance data ecosystem. Keep it engaging and personal!
Show Off Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in past projects. We love seeing candidates who can think critically and come up with innovative solutions!
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 NewDay Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the modern data technologies mentioned in the job description, like Spark and AWS. Brush up on your hands-on experience with these tools, as you might be asked to solve technical problems or discuss past projects where you used them.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your problem-solving skills can benefit their data pipelines.
✨Emphasise Collaboration
Since the role requires a collaborative spirit, think of examples where you worked effectively in a team. Be ready to share how you contributed to group projects and how you handle differing opinions or conflicts within a team setting.
✨Understand the Company’s Data Ecosystem
Research the company’s current data practices and any recent developments in their data ecosystem. This will not only show your interest but also allow you to ask insightful questions during the interview, demonstrating that you’re proactive and engaged.