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

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

Cambridge Full-Time 60000 - 65000 £ / year (est.) No 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.
  • 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.
  • Other info: Join a dynamic team with opportunities for growth and innovation.

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 will 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 in Cambridge employer: Triumph Research Intelligence

Join a leading SaaS company in Cambridge that prioritises innovation and collaboration, offering a dynamic work culture where your contributions directly impact the R&D division. With flexible remote working options, generous holiday allowances, and comprehensive health benefits, this role not only supports your professional growth but also values your well-being, making it an excellent choice for those seeking meaningful and rewarding employment.
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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 in Cambridge

✨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 Azure and T-SQL. This will not only impress but also demonstrate your hands-on abilities.

✨Tip Number 3

Practice makes perfect! Set up mock interviews with friends or use online platforms. Focus on collaboration scenarios since teamwork is key in this role.

✨Tip Number 4

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

ETL Pipeline Design
Data Architecture
Azure
T-SQL
Collaboration Skills
Data Solutions Development
Scalable Systems
R&D Experience

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! Tell us 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 you'll be working closely with Data Scientists, it’s important to demonstrate your collaboration skills. Share examples of past teamwork experiences in your application to show us you’re a team player.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come in through our own platform!

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, think of examples that highlight your teamwork abilities. Prepare to share stories about how you’ve successfully collaborated on projects in the past.

✨Understand ETL Processes

Familiarise yourself with the intricacies of designing ETL pipelines. Be prepared to explain your approach to building scalable data solutions and how you ensure data quality throughout the process.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's R&D division and their vision for data engineering. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Data Engineer - Remote-First, Build Scalable Pipelines in Cambridge
Triumph Research Intelligence
Location: Cambridge

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