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- Tasks: Design scalable data pipelines and orchestrate workflows using AWS tools.
- Company: Leading consulting firm in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the next-generation data platform in a dynamic Agile environment.
- Qualifications: 10+ years of experience, proficient in Python, familiar with Apache Spark.
- Other info: Collaborate with diverse teams to drive impactful data-driven solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading consulting firm in the UK is seeking an experienced AWS Data Engineer to join their team. This role involves designing scalable data pipelines, orchestrating workflows using AWS tools, and collaborating with stakeholders to drive data-driven solutions.
The ideal candidate has over 10 years of experience, is proficient in Python, and familiar with Apache Spark. This hybrid position offers a chance to shape the next-generation data platform while working in an Agile environment with diverse teams.
Senior AWS Data Engineer — Spark, Lakehouse, Finance employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer — Spark, Lakehouse, Finance
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or data engineering. 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 best projects, especially those involving AWS, Python, and 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 your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks 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 AWS Data Engineer — Spark, Lakehouse, Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and Apache 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 data engineering and how you can contribute to our team. Let us know what excites you about this role!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. 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 a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at N Consulting Global
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data engineering tools like Glue, Redshift, and Lake Formation. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, as it's a key requirement for this position. Think of specific examples where you've used Python to solve complex data problems or automate processes, and be ready to explain your thought process.
✨Understand Apache Spark
Since familiarity with Apache Spark is crucial, make sure you can talk about your experience with it. Be prepared to discuss how you've implemented Spark in data pipelines and any challenges you've faced while working with it.
✨Emphasise Collaboration and Agile Experience
This role involves working with diverse teams, so highlight your experience in Agile environments. Share examples of how you've collaborated with stakeholders to drive data-driven solutions and how you adapt to changing requirements.
