Hands-On Data Engineering Lead: Platform Reliability

Hands-On Data Engineering Lead: Platform Reliability

Full-Time 80000 - 100000 € / year (est.) No home office possible
Deepstreamtech

At a Glance

  • Tasks: Lead the technical roadmap for our data platform and enhance system reliability.
  • Company: Join Deepstreamtech, a forward-thinking company in Greater London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact by leading technical initiatives and coaching future engineers.
  • Qualifications: Strong skills in Dagster, BigQuery, Python, and experience in multi-cloud environments.

The predicted salary is between 80000 - 100000 € per year.

Deepstreamtech is seeking a Data Engineering Lead in Greater London to own the technical roadmap for their data platform. This role involves hands-on leadership, improving system reliability, developing customer-facing APIs, and implementing best practices for data quality.

The ideal candidate will have strong skills in Dagster, BigQuery, and Python, along with experience in multi-cloud environments. If you are excited about leading technical initiatives and coaching engineers, we encourage you to apply.

Hands-On Data Engineering Lead: Platform Reliability employer: Deepstreamtech

Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer ample opportunities for professional development and hands-on leadership roles, allowing you to make a meaningful impact on our data platform. Join us to be part of a dynamic team that values technical excellence and encourages creativity in solving complex challenges.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Hands-On Data Engineering Lead: Platform Reliability

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Dagster, BigQuery, and Python. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common questions related to data engineering and system reliability. 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 are proactive about their job search.

We think you need these skills to ace Hands-On Data Engineering Lead: Platform Reliability

Hands-On Leadership
System Reliability Improvement
API Development
Data Quality Best Practices
Dagster
BigQuery
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Dagster, BigQuery, 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! Tell us why you’re excited about leading technical initiatives and how you can improve system reliability. Keep it engaging and personal – we love to see your passion!

Showcase Your Leadership Skills:Since this role involves hands-on leadership, make sure to highlight any experience you have in coaching engineers or leading teams. We’re looking for someone who can inspire and guide others, so share those stories!

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 us. Let’s get started on this journey together!

How to prepare for a job interview at Deepstreamtech

Know Your Tech Stack

Make sure you’re well-versed in Dagster, BigQuery, and Python. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.

Demonstrate Leadership Skills

Since this role involves hands-on leadership, prepare examples of how you've led teams or projects in the past. Think about specific challenges you faced and how you coached your team through them. This will highlight your ability to guide others and improve system reliability.

Showcase Problem-Solving Abilities

Be ready to tackle hypothetical scenarios related to data platform issues. Practice articulating your thought process when it comes to troubleshooting and implementing best practices for data quality. This will demonstrate your analytical skills and proactive approach.

Ask Insightful Questions

Prepare thoughtful questions about Deepstreamtech’s data platform and their vision for the future. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation during the interview.