At a Glance
- Tasks: Design scalable data pipelines on AWS and optimise ETL workflows with PySpark and SQL.
- Company: Progressive organisation based in London, focused on innovative data solutions.
- Benefits: Competitive daily rate of £400 - £450 for a 6-month contract.
- Other info: Onsite role in London with opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with real-time data projects.
- Qualifications: Strong background in AWS services and data governance principles required.
The predicted salary is between 104000 - 117600 € per year.
LA International is seeking an AWS Data Engineer for a 6-month contract in the UK, working mostly onsite in London. The role requires expertise in designing scalable data pipelines on AWS, optimizing ETL workflows with PySpark and SQL, and collaborating with stakeholders for technical solutions.
Candidates should have a strong background in AWS services and data governance principles. This contract offers a daily rate of £400 - £450 and is an excellent opportunity to be part of a progressive organization.
AWS Data Engineer — Real-Time Data Pipelines (6m Contract) in London employer: LA International
LA International is an excellent employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to work on cutting-edge projects in the heart of London. With a focus on professional growth, the company offers continuous learning opportunities and encourages team members to share their expertise, making it a rewarding environment for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer — Real-Time Data Pipelines (6m Contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS. 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 AWS, PySpark, and SQL. 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 AWS scenarios and data governance principles. Practise explaining your thought process when designing scalable data pipelines – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AWS Data Engineer — Real-Time Data Pipelines (6m Contract) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and data pipelines. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise in PySpark and SQL!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing candidates who can articulate their passion for data engineering and how they can contribute to our team.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! We’re interested in real-world examples of your work with scalable data pipelines and ETL workflows. This helps us understand your hands-on experience.
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 regarding your application status!
How to prepare for a job interview at LA International
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially those relevant to data engineering. Be prepared to discuss how you've used these services in past projects and how they can be applied to design scalable data pipelines.
✨Show Off Your ETL Skills
Since the role involves optimising ETL workflows with PySpark and SQL, come ready to share specific examples of how you've tackled similar challenges. Think about the problems you faced, the solutions you implemented, and the results you achieved.
✨Collaboration is Key
This position requires working closely with stakeholders, so be prepared to talk about your experience in collaborating with different teams. Highlight any successful projects where you’ve worked cross-functionally and how you ensured everyone was on the same page.
✨Understand Data Governance Principles
Familiarise yourself with data governance principles as they are crucial for this role. Be ready to discuss how you’ve implemented these principles in your previous work and why they matter in the context of data engineering.
