Senior Graph Data Engineer - Real-Time Pipeline Architect
Senior Graph Data Engineer - Real-Time Pipeline Architect

Senior Graph Data Engineer - Real-Time Pipeline Architect

Temporary 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain high-performance integration pipelines for Graph-Powered Data Platforms.
  • Company: Leading tech recruitment firm with a focus on innovation.
  • Benefits: Competitive daily rate, mostly remote work, and travel opportunities to London.
  • Why this job: Join a cutting-edge team and shape the future of data engineering.
  • Qualifications: Expertise in Docker, Kubernetes, Terraform, and real-time data technologies.
  • Other info: Contract role lasting 3 to 6 months with excellent growth potential.

The predicted salary is between 60000 - 84000 £ per year.

A leading tech recruitment firm is seeking a Senior Graph Data Engineer to architect and maintain integration pipelines for Graph-Powered Data Platforms. The role involves designing high-performance pipelines using technologies like Kafka and Kinesis, with expert knowledge required in Docker, Kubernetes, and Terraform. This position is mostly remote with some travel to London and offers a competitive daily rate of around £425 for a contract of 3 to 6 months.

Senior Graph Data Engineer - Real-Time Pipeline Architect employer: Harvey Nash

As a leading tech recruitment firm, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With opportunities for professional growth and development, particularly in cutting-edge technologies like Graph Data Engineering, our mostly remote role allows for flexibility while still offering the chance to collaborate with top talent in London. Join us to be part of an innovative team that values your expertise and contributions.
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Contact Detail:

Harvey Nash Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Graph Data Engineer - Real-Time Pipeline Architect

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with Graph Data or similar technologies. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your previous projects involving Kafka, Kinesis, Docker, and Kubernetes. This will give potential employers a clear view of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common questions related to real-time data pipelines and graph databases. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join exciting projects.

We think you need these skills to ace Senior Graph Data Engineer - Real-Time Pipeline Architect

Graph Data Engineering
Integration Pipeline Architecture
Kafka
Kinesis
Docker
Kubernetes
Terraform
High-Performance Pipeline Design
Remote Work Adaptability
Travel Flexibility

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with graph data engineering and the specific technologies 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 the perfect fit for this role. Share your passion for real-time data pipelines and any relevant projects you've worked on. This is your chance to shine!

Showcase Your Technical Skills: Since this role requires expertise in Docker, Kubernetes, and Terraform, be sure to include specific examples of how you've used these technologies in your previous work. We love seeing practical applications of your skills!

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Harvey Nash

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Kafka, Kinesis, Docker, Kubernetes, and Terraform. Brush up on your knowledge of how these tools work together to create efficient data pipelines, as you’ll likely be asked to discuss your experience with them.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles related to graph data engineering. Think about how you approached these problems and the solutions you implemented. This will demonstrate your ability to think critically and adapt in a fast-paced environment.

✨Understand the Company’s Vision

Research the company’s projects and goals, especially those related to graph-powered data platforms. Being able to articulate how your skills align with their vision will show that you’re genuinely interested in the role and can contribute meaningfully.

✨Ask Insightful Questions

Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or future technology plans. It shows that you’re engaged and eager to learn more about how you can fit into their team.

Senior Graph Data Engineer - Real-Time Pipeline Architect
Harvey Nash

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