Data Engineer - Remote-First, Build Scalable Pipelines
Data Engineer - Remote-First, Build Scalable Pipelines

Data Engineer - Remote-First, Build Scalable Pipelines

Full-Time 60000 - 65000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Design ETL pipelines and architect scalable data solutions for innovative projects.
  • Company: Leading SaaS company in Cambridge with a focus on R&D.
  • Benefits: Salary of £60,000 - £65,000, flexible remote work, generous holidays, and health benefits.
  • Other info: Join a dynamic team with opportunities for growth and innovation.
  • Why this job: Shape the future of data engineering and collaborate with talented Data Scientists.
  • Qualifications: Experience with Azure, T-SQL, and strong collaboration skills required.

The predicted salary is between 60000 - 65000 £ per year.

A leading SaaS company in Cambridge seeks a Data Engineer to help shape their new R&D division. You'll design ETL pipelines, architect scalable data solutions, and work closely with Data Scientists.

The position offers a salary of £60,000 - £65,000, flexible remote working, generous holidays, and various health benefits.

Ideal candidates will have experience with Azure, T-SQL, and strong collaboration skills.

Data Engineer - Remote-First, Build Scalable Pipelines employer: Triumph Research Intelligence

Join a pioneering SaaS company in Cambridge that champions innovation and collaboration within its new R&D division. With a focus on employee well-being, we offer flexible remote working, generous holiday allowances, and comprehensive health benefits, ensuring a supportive work culture that fosters professional growth and development. As a Data Engineer, you'll have the opportunity to make a significant impact while working alongside talented Data Scientists in a dynamic environment.
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Contact Detail:

Triumph Research Intelligence Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - Remote-First, Build Scalable Pipelines

✨Tip Number 1

Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Show off your skills! Prepare a mini-project or case study that highlights your experience with ETL pipelines and Azure. This will make you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for Data Engineers. We can even do mock interviews together to boost your confidence.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.

We think you need these skills to ace Data Engineer - Remote-First, Build Scalable Pipelines

ETL Pipeline Design
Data Architecture
Azure
T-SQL
Collaboration Skills
Data Solutions Development
Scalable Systems
Remote Work Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure and T-SQL. 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! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our R&D division. Keep it engaging and personal.

Showcase Collaboration Skills: Since we value teamwork, mention any past experiences where you’ve successfully collaborated with others, especially Data Scientists. We love seeing how you work with different teams to achieve common goals!

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 this exciting opportunity in our growing team!

How to prepare for a job interview at Triumph Research Intelligence

✨Know Your Tech Stack

Make sure you brush up on your experience with Azure and T-SQL. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Collaboration Skills

Since you'll be working closely with Data Scientists, it's crucial to demonstrate your teamwork abilities. Prepare examples of past collaborations, highlighting how you communicated effectively and contributed to the success of a project.

✨Understand ETL Processes

Be prepared to dive deep into your knowledge of ETL pipelines. Think about how you've designed or optimised these processes in the past, and be ready to explain your thought process and the impact of your work.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's R&D division and their vision for data solutions. This shows your genuine interest and helps you assess if the role is the right fit for you.

Data Engineer - Remote-First, Build Scalable Pipelines
Triumph Research Intelligence

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