At a Glance
- Tasks: Design and optimise scalable data pipelines using AWS technologies.
- Company: Leading data engineering firm in the UK with a focus on innovation.
- Benefits: Competitive salary, career growth opportunities, and collaborative work environment.
- Other info: Work closely with Data Science teams and utilise cutting-edge technologies.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Proven data engineering experience and strong Python skills required.
The predicted salary is between 60000 - 80000 € per year.
A leading data engineering firm in the United Kingdom seeks a Senior Data Platform Engineer responsible for designing, building, and optimising scalable data pipelines. This role involves close collaboration with Data Science teams and utilizing AWS technologies, including EMR and SageMaker.
Ideal candidates will have proven experience in data engineering, strong Python skills, and a solid understanding of data governance principles. The position offers opportunities for innovation and career growth.
Senior Data Platform Engineer | AWS Data Pipelines & ML employer: Career Choices Dewis Gyrfa Ltd
As a leading data engineering firm in the United Kingdom, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer numerous opportunities for career growth and skill enhancement, particularly in cutting-edge technologies like AWS. Join us to be part of a dynamic team where your contributions are valued and rewarded, making a meaningful impact in the world of data engineering.
Contact Detail:
Career Choices Dewis Gyrfa Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer | AWS Data Pipelines & ML
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS technologies. 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, especially those involving data pipelines and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding data governance principles. We recommend practising common interview questions related to AWS and data engineering 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. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior Data Platform Engineer | AWS Data Pipelines & ML
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS technologies and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any relevant projects you've worked on.
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. Mention specific experiences that relate to designing and optimising data pipelines.
Showcase Your Collaboration Skills:Since this role involves working closely with Data Science teams, highlight any past experiences where you collaborated effectively. We love seeing examples of teamwork and how you’ve contributed to successful projects.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Career Choices Dewis Gyrfa Ltd
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS technologies, especially EMR and SageMaker. Be ready to discuss how you've used these tools in past projects and how they can be leveraged to optimise data pipelines.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. Think of specific examples where you've used Python to solve complex data engineering problems. You might even want to bring a small code snippet or two to discuss during the interview.
✨Understand Data Governance Principles
Familiarise yourself with data governance principles and be prepared to explain how you've implemented them in your previous roles. This shows that you not only know how to build data pipelines but also how to ensure data quality and compliance.
✨Collaborate and Communicate
Since this role involves working closely with Data Science teams, think about how you can demonstrate your collaboration skills. Prepare examples of successful teamwork and how you’ve communicated technical concepts to non-technical stakeholders.
