Data Engineer: Scalable Pipelines & Insights
Data Engineer: Scalable Pipelines & Insights

Data Engineer: Scalable Pipelines & Insights

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain scalable data pipelines to transform the insurance market.
  • Company: Innovative tech firm in the UK with a collaborative culture.
  • Benefits: Competitive salary, strong focus on personal development, and great benefits.
  • Why this job: Join a dynamic team and make a real impact in the specialty insurance sector.
  • Qualifications: Fluency in Python and SQL, with experience in operational data pipelines.
  • Other info: Autonomous work environment with excellent career growth opportunities.

The predicted salary is between 28800 - 48000 £ per year.

An innovative tech firm in the United Kingdom is looking for a Data Engineer to build and maintain scalable data pipelines. The ideal candidate will be fluent in Python and SQL, with experience in operational data pipelines and an emphasis on data quality. You will join a collaborative and autonomous team, helping to transform the specialty insurance market with your technical skills. This role comes with competitive benefits and a strong emphasis on personal and professional development.

Data Engineer: Scalable Pipelines & Insights employer: Artificial Labs Limited

Join an innovative tech firm in the United Kingdom that prioritises collaboration and autonomy, offering a dynamic work culture where your contributions directly impact the specialty insurance market. With competitive benefits and a strong focus on personal and professional development, this role as a Data Engineer provides ample opportunities for growth and skill enhancement in a supportive environment.
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Contact Detail:

Artificial Labs Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer: Scalable Pipelines & Insights

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. We want to see how you’ve built and maintained data pipelines, so make sure to highlight your best work.

✨Tip Number 3

Prepare for the interview by brushing up on common technical questions related to data quality and operational pipelines. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Data Engineer: Scalable Pipelines & Insights

Python
SQL
Data Pipeline Development
Data Quality Assurance
Collaboration
Autonomous Work
Technical Skills
Problem-Solving

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your Python and SQL expertise in your application. We want to see how you've used these skills in real-world scenarios, especially when it comes to building operational data pipelines.

Emphasise Data Quality: Since data quality is key for us, don’t forget to mention any experience you have with ensuring data integrity. Share specific examples of how you've tackled data quality issues in the past.

Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for data engineering and how you can contribute to our collaborative team culture.

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 connect with you and get the ball rolling on your journey with StudySmarter!

How to prepare for a job interview at Artificial Labs Limited

✨Know Your Tech Inside Out

Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built or maintained data pipelines, and be prepared to explain how you ensured data quality in those projects.

✨Showcase Your Problem-Solving Skills

Think of examples where you've tackled challenges in data engineering. Whether it was optimising a pipeline or resolving data discrepancies, having concrete examples will demonstrate your ability to think critically and solve problems effectively.

✨Understand the Company’s Vision

Research the innovative tech firm and their role in the specialty insurance market. Understanding their mission and how your skills can contribute to their goals will show your genuine interest and help you stand out as a candidate.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the tools they use, and opportunities for personal and professional development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Data Engineer: Scalable Pipelines & Insights
Artificial Labs Limited

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