At a Glance
- Tasks: Design and build data systems using AWS and Snowflake technologies.
- Company: Ampstek, a forward-thinking company focused on innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and shape the future of data architecture.
- Qualifications: 12+ years in Python with expertise in data pipeline management.
The predicted salary is between 70000 - 90000 £ per year.
Ampstek is seeking a data architect to contribute to platform design and build data systems. The role involves working 2 days a week in the client office and 3 days remote, focusing on AWS and Snowflake technologies.
Ideal candidates will have over 12 years of experience in Python and strong expertise in data pipeline management and cloud solutions.
Responsibilities include:
- Architectural design
- Metadata management
- Collaboration with business teams
Senior Data Engineer — AWS, Snowflake & Python (Hybrid) employer: Ampstek
Ampstek is an exceptional employer that fosters a collaborative and innovative work culture, offering a hybrid work model that promotes flexibility and work-life balance. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge technologies like AWS and Snowflake, making it an ideal environment for seasoned professionals looking to make a meaningful impact in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — AWS, Snowflake & Python (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Snowflake. 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 in Python and data pipeline management. 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 data engineering scenarios. Think about how you would tackle architectural design challenges or manage metadata. We want you to feel confident and ready to impress!
✨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 Engineer — AWS, Snowflake & Python (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Snowflake, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Engineer role. Share your passion for data architecture and how you can contribute to our platform design.
Showcase Your Collaboration Skills:Since this role involves working closely with business teams, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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’s super easy!
How to prepare for a job interview at Ampstek
✨Know Your Tech Inside Out
Make sure you brush up on AWS, Snowflake, and Python before the interview. Be ready to discuss your experience with these technologies in detail, including specific projects where you've implemented data pipeline management or architectural design.
✨Showcase Your Collaboration Skills
Since the role involves working closely with business teams, prepare examples of how you've successfully collaborated in the past. Highlight any instances where your input led to improved data systems or solutions that benefited the business.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture or pipeline management. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to think on your feet.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
