Staff Data Platform Engineer: Real-Time Data & Lineage
Staff Data Platform Engineer: Real-Time Data & Lineage

Staff Data Platform Engineer: Real-Time Data & Lineage

Full-Time 80000 - 120000 £ / year (est.) No home office possible
CoreWeave

At a Glance

  • Tasks: Lead and optimise a cutting-edge data platform, designing pipelines for real-time data.
  • Company: A leading AI cloud provider in Greater London with a focus on innovation.
  • Benefits: Competitive salary, hybrid work model, and excellent benefits package.
  • Other info: Great opportunity for career growth in a collaborative environment.
  • Why this job: Join a dynamic team and shape the future of data engineering.
  • Qualifications: 8+ years in data engineering, strong SQL, Python, and cloud skills required.

The predicted salary is between 80000 - 120000 £ per year.

A leading AI cloud provider in Greater London is seeking a Staff Data Engineer to lead and evolve their Monolith data platform. The role entails optimizing data services, designing batch and streaming pipelines, and ensuring high data quality and governance.

The ideal candidate has over 8 years of experience in data engineering, strong expertise in SQL, Python, and cloud technologies, and excellent communication skills.

The position supports a hybrid work environment with competitive benefits.

Staff Data Platform Engineer: Real-Time Data & Lineage employer: CoreWeave

As a leading AI cloud provider in Greater London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from a hybrid work environment, competitive remuneration, and ample opportunities for professional growth, making us an excellent employer for those looking to make a meaningful impact in the data engineering field.
CoreWeave

Contact Detail:

CoreWeave Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Platform Engineer: Real-Time Data & Lineage

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.

✨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 Staff Data Platform Engineer: Real-Time Data & Lineage

Data Engineering
SQL
Python
Cloud Technologies
Data Quality
Data Governance
Batch Processing
Streaming Pipelines
Communication Skills
Optimisation
Leadership
Hybrid Work Environment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL, Python, and cloud technologies. We want to see how your skills align with the role of Staff Data Engineer, 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 data platforms and how your background makes you the perfect fit for our team. We love seeing enthusiasm and a personal touch!

Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you can convey complex ideas simply.

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 – just follow the prompts and let us know why you’d be a great addition to our team!

How to prepare for a job interview at CoreWeave

✨Know Your Data Inside Out

Make sure you’re well-versed in the specifics of data engineering, especially around SQL and Python. Brush up on your knowledge of batch and streaming pipelines, as well as data quality and governance practices. Being able to discuss these topics confidently will show that you’re the right fit for leading their Monolith data platform.

✨Showcase Your Experience

With over 8 years of experience expected, prepare to share specific examples from your past roles. Highlight projects where you optimised data services or designed effective data pipelines. Use metrics to demonstrate your impact, as this will resonate well with the interviewers.

✨Communicate Clearly

Excellent communication skills are a must for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. This will not only showcase your expertise but also your ability to work in a hybrid environment.

✨Research the Company Culture

Take some time to understand the company’s values and culture. Knowing how they operate and what they prioritise can help you tailor your responses during the interview. It’ll also give you a chance to ask insightful questions, showing your genuine interest in the role and the organisation.

Staff Data Platform Engineer: Real-Time Data & Lineage
CoreWeave

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