At a Glance
- Tasks: Build robust data pipelines for analytics and machine learning using AWS technologies.
- Company: Deepstreamtech, a forward-thinking company in the heart of Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting environment with a focus on innovation and data governance.
- Why this job: Join a dynamic team and work on impactful projects in data science.
- Qualifications: Strong AWS experience, Python proficiency, and big data tech knowledge preferred.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is looking for a Data Engineer in Greater London to work with the Data Science team on developing robust data pipelines for analytics and machine learning tools. The role involves leveraging AWS technologies like EMR, S3, and SageMaker while ensuring data governance and protection of sensitive information.
Candidates should have strong AWS cloud experience and proficiency in Python, with added expertise in big data technologies preferred.
Senior Data Platform Engineer - Cloud-Scale Data Pipelines employer: Deepstreamtech
Deepstreamtech is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development and collaboration within our Data Science team, ensuring that your contributions to building robust data pipelines are both meaningful and impactful. Our commitment to leveraging cutting-edge AWS technologies fosters a culture of excellence and creativity, making Deepstreamtech a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Cloud-Scale Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Deepstreamtech or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS technologies and data pipelines. This gives you a chance to demonstrate your expertise in Python and big data tech.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of data governance and sensitive information protection. Be ready to discuss how you've tackled these issues in past projects.
✨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 about their job search!
We think you need these skills to ace Senior Data Platform Engineer - Cloud-Scale Data Pipelines
Some tips for your application 🫡
Show Off Your AWS Skills:Make sure to highlight your experience with AWS technologies like EMR, S3, and SageMaker in your application. We want to see how you've used these tools to build robust data pipelines!
Python Proficiency is Key:Since Python is a must-have for this role, don’t forget to showcase your coding skills. Include examples of projects where you’ve used Python to solve data-related challenges.
Big Data Experience Counts:If you've got experience with big data technologies, let us know! Mention any relevant tools or frameworks you've worked with to give us a better picture of your expertise.
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!
How to prepare for a job interview at Deepstreamtech
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially EMR, S3, and SageMaker. Be ready to discuss how you've used these technologies in past projects and how they can be applied to build robust data pipelines.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve a coding problem or explain how you've used Python for data manipulation and analysis. Practise common data engineering tasks to showcase your skills.
✨Understand Data Governance
Since the role involves protecting sensitive information, be prepared to discuss data governance practices. Familiarise yourself with best practices and regulations around data protection, and think of examples where you've implemented these in your work.
✨Big Data Technologies Are a Plus
If you have experience with big data technologies, make sure to highlight that during the interview. Discuss any relevant tools or frameworks you've worked with and how they can enhance data processing and analytics capabilities.
