At a Glance
- Tasks: Lead the design of cloud-native data platforms and solve high-impact data challenges.
- Company: Internetwork Expert, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join us in Greater London for an exciting career in data engineering.
- Why this job: Tackle interesting problems and collaborate with expert engineers in a dynamic environment.
- Qualifications: Strong Python and SQL skills, with experience in Spark and modern data platforms.
The predicted salary is between 70000 - 90000 € per year.
Internetwork Expert is looking for a Principal Data Engineer in Greater London. In this hands-on role, you will lead the architecture and design of cloud-native data platforms, focusing on high-impact data solutions.
The ideal candidate has strong Python and SQL skills, coupled with deep experience in Spark and modern data platforms like Databricks and Snowflake. You'll work directly with clients to identify problems and shape effective data solutions.
Join us if you want to work on interesting, high-impact problems while surrounded by expert engineers.
Senior Data Platform Engineer — Real-Time Pipelines in London employer: Internetwork Expert
Internetwork Expert is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among expert engineers. Located in Greater London, we provide our employees with ample opportunities for professional growth and development, alongside competitive benefits that support work-life balance. Join us to tackle high-impact data challenges while being part of a supportive team that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer — Real-Time Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Internetwork Expert. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and Spark. 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 your problem-solving skills. Be ready to discuss how you've tackled real-time data challenges in the past, as this will resonate well with the role's focus on high-impact solutions.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Platform Engineer — Real-Time Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python, SQL, and Spark skills. We want to see how your experience aligns with the role of a Senior Data Platform Engineer, so don’t hold back on showcasing your expertise in cloud-native data platforms like Databricks and Snowflake.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing candidates who can connect their past experiences to the high-impact problems we tackle.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've identified and solved data-related challenges in previous roles. We’re looking for someone who can think critically and creatively, so let us know how you’ve made a difference!
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 shows us you’re keen to join our team!
How to prepare for a job interview at Internetwork Expert
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and Spark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in cloud-native environments like Databricks and Snowflake.
✨Understand the Business Impact
Since you'll be working on high-impact data solutions, think about how your previous work has contributed to business outcomes. Prepare examples that showcase your ability to identify problems and implement effective data solutions for clients.
✨Prepare for Hands-On Challenges
Expect some practical assessments during the interview. Practice coding challenges related to data pipelines and architecture design. This will help you demonstrate your hands-on experience and problem-solving skills effectively.
✨Engage with the Interviewers
Show genuine interest in the company and the role by asking insightful questions. Inquire about their current projects, team dynamics, and how they tackle complex data challenges. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.
