At a Glance
- Tasks: Build robust data pipelines for analytics and machine learning using AWS technologies.
- Company: Join Deepstreamtech, a forward-thinking company in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with a focus on data governance and protection.
- Why this job: Make an impact by working on cutting-edge data solutions in a dynamic team.
- 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 in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge AWS technologies, ensuring that our team members are at the forefront of data engineering. Join us to be part of a dynamic environment where your contributions directly impact our analytics and machine learning initiatives, all while enjoying the vibrant lifestyle that London has to offer.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Cloud-Scale Data Pipelines in London
✨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 common data engineering questions and AWS services. We recommend practising coding challenges related to data manipulation and pipeline creation to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS technologies and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your big data expertise!
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 at Deepstreamtech. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool data pipelines or analytics projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve AWS or machine learning tools.
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 from our team!
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 Your Friend
If you have experience with big data technologies, make sure to highlight it. Discuss any relevant tools or frameworks you've worked with, and be ready to explain how they can enhance data pipeline efficiency and scalability.
