At a Glance
- Tasks: Own and maintain production ML platforms, design large-scale Databricks/Spark pipelines.
- Company: twentysix, a dynamic tech company in Washington, England.
- Benefits: Collaborative work environment with opportunities for growth and impact.
- Other info: Exciting role with a focus on technical improvements and teamwork.
- Why this job: Join a team that values digital innovation and philanthropy.
- Qualifications: Extensive software engineering experience, especially in Python and data pipelines.
The predicted salary is between 60000 - 80000 £ per year.
twentysix, located in Washington, England, is looking for a skilled software engineer to be responsible for owning and maintaining their production machine learning and delivery platform. The role involves designing large-scale Databricks/Spark pipelines and leading technical improvements.
Applicants should have extensive experience in software engineering, particularly with Python and data pipeline integration. A passion for digital and philanthropic causes is highly valued. This position offers a collaborative and dynamic work environment.
Senior Data Platform Engineer - ML Pipelines & Databricks in Washington employer: twentysix
twentysix is an exceptional employer that fosters a collaborative and dynamic work environment, perfect for those passionate about digital innovation and philanthropy. Located in Washington, England, we offer extensive opportunities for employee growth and development, alongside a commitment to maintaining a healthy work-life balance. Join us to be part of a forward-thinking team that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - ML Pipelines & Databricks in Washington
✨Tip Number 1
Network like a pro! Reach out to current employees at twentysix on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve worked on any cool projects involving Databricks or ML pipelines, make sure to discuss them in interviews. We want to see your passion for tech and how you can contribute to their mission.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and data pipeline integration. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who align with our values.
We think you need these skills to ace Senior Data Platform Engineer - ML Pipelines & Databricks in Washington
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and data pipeline integration in your application. We want to see how your skills align with the role of owning and maintaining our production machine learning platform.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect your passion for digital and philanthropic causes, as this is something we value highly at StudySmarter. Let us know why you’re excited about this opportunity!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your experience and achievements shine through without unnecessary fluff.
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 twentysix
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the intricacies of Databricks and Spark. Be ready to discuss your past experiences with data pipeline integration and how you've tackled challenges in your previous roles.
✨Show Your Passion for Philanthropy
Since twentysix values a passion for digital and philanthropic causes, think of examples where your work has made a positive impact. Share stories that highlight your commitment to using technology for good.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Practice explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively with non-technical team members.
✨Emphasise Collaboration Skills
This role is in a collaborative environment, so be prepared to discuss how you've worked with others in the past. Highlight any experiences where you led a team or contributed to group projects, showcasing your ability to work well with diverse teams.
