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- Tasks: Design and implement scalable data ingestion pipelines using Snowflake.
- Company: Global data intelligence company based in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Lead innovative projects and make a significant impact in the data engineering field.
- Qualifications: Bachelor’s degree in Computer Science and 5+ years of relevant experience required.
- Other info: Join a dynamic team with a focus on operational excellence and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A global data intelligence company based in Greater London is seeking a Senior Data Engineer. You will be responsible for designing and implementing Snowflake ingestion pipelines, ensuring reliability and operational excellence while leading initiatives across teams.
Candidates should have:
- A Bachelor’s degree in Computer Science or similar
- 5+ years of relevant experience
- Strong proficiency in Java, Scala, Python, and SQL
- Experience with data ingestion, AWS, and Kubernetes
Experience in these areas is essential for success in this role.
Senior Data Engineer: Build Scalable Ingestion Pipelines employer: Kpler
Contact Detail:
Kpler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable Ingestion Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake ingestion pipelines or AWS. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Java, Scala, Python, and SQL skills. Practice coding challenges and be ready to discuss your past experiences with data ingestion and Kubernetes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer: Build Scalable Ingestion Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake ingestion pipelines and the programming languages mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background makes you a great fit for our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Since we're looking for strong proficiency in Java, Scala, Python, and SQL, make sure to include specific examples of how you've used these technologies in your previous roles. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Kpler
✨Know Your Tech Stack
Make sure you brush up on your skills in Java, Scala, Python, and SQL. Be ready to discuss how you've used these languages in past projects, especially in relation to building ingestion pipelines. It’s a great way to show your technical prowess!
✨Showcase Your Experience with Data Ingestion
Prepare specific examples of how you've designed and implemented data ingestion processes. Highlight any challenges you faced and how you overcame them, particularly with Snowflake or AWS. This will demonstrate your hands-on experience and problem-solving abilities.
✨Familiarise Yourself with Kubernetes
Since Kubernetes is essential for this role, make sure you understand its architecture and how it relates to data engineering. Be prepared to discuss any projects where you've used Kubernetes to manage containerised applications, as this will show your capability to lead initiatives across teams.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.