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- Tasks: Enhance data systems and lead initiatives for improved developer experience.
- Company: Join Life360, a leader in innovative data solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on communication and teamwork.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: 8+ years in data systems, proficient in Python, SQL, and Databricks.
The predicted salary is between 80000 - 120000 £ per year.
Life360 is seeking a Staff Data Engineer to enhance data ingestion, transformation, and egress capabilities. The ideal candidate will have at least 8 years of experience in building high-volume distributed data systems, proficiency in Python and SQL, and experience with Databricks and CI/CD practices.
You will lead initiatives that improve developer experience and data quality monitoring, shaping architecture decisions and guiding engineering practices. A collaborative approach and strong communication skills are essential for this role.
Staff AI-Native Data Platform Engineer employer: Life360
Contact Detail:
Life360 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI-Native Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data systems. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and architecture decisions. We recommend doing mock interviews with friends or using online platforms 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 seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Staff AI-Native Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high-volume distributed data systems, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing data ingestion and transformation. We love seeing candidates who can communicate their vision clearly.
Showcase Collaboration Skills: Since this role requires a collaborative approach, mention any past experiences where you worked in teams to improve developer experience or data quality. We value strong communication, so let that shine through!
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 Life360
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built high-volume distributed data systems, and don't shy away from diving into technical details. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Experience with Databricks
Since the role involves working with Databricks, prepare to talk about your experience with this platform. Have examples ready that highlight how you've used Databricks for data ingestion or transformation, and be prepared to discuss any challenges you faced and how you overcame them.
✨Emphasise Collaboration and Communication
Life360 values a collaborative approach, so be sure to share examples of how you've worked effectively in teams. Highlight instances where your strong communication skills helped resolve conflicts or improve project outcomes. This will demonstrate that you're not just a tech whiz but also a team player.
✨Prepare for Architectural Discussions
As you'll be shaping architecture decisions, be ready to discuss your thought process behind architectural choices in previous roles. Think about how you can articulate the trade-offs of different approaches and how they impacted developer experience and data quality monitoring.