Data Engineer

Data Engineer

London Full-Time 43200 - 64800 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to build cutting-edge blockchain data infrastructure.
  • Company: Work with a leading crypto client in a fast-growing environment.
  • Benefits: Enjoy hybrid work options and competitive pay.
  • Why this job: Shape the future of decentralized finance with innovative data systems.
  • Qualifications: 5+ years in engineering, proficient in Python, Spark, and SQL.
  • Other info: Must hold British or European citizenship; no sponsorship available.

The predicted salary is between 43200 - 64800 £ per year.

This range is provided by Nicoll Curtin. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Nicoll Curtin

Data Engineer – Crypto Client, London, Hybrid, £Competitive

We\’re hiring on behalf of a leading crypto client for an experienced Data Engineer to join their fast-growing team in London. This is an exciting opportunity to work on cutting-edge blockchain data infrastructure in a highly dynamic environment.

What We\’re Looking For:

  • 5+ years of engineering experience
  • – Proficient in Python , Spark
  • – Advanced SQL skills
  • Proven experience with data ingestion pipelines
  • Hands-on with cloud platforms – ideally AWS
  • Solid experience working with Big Data and time series databases
  • Must have experience working within a trading or front office environment

You’ll be part of a team shaping the future of decentralized finance through robust, scalable data systems.

Apply now for immediate consideration.

No sponsorship available, must hold British Citizenship, European Citizenship or ILR.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology, Finance, and Engineering

  • Industries

    Software Development, IT System Data Services, and Data Infrastructure and Analytics

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Data Engineer employer: Nicoll Curtin

Join a leading crypto client in London as a Data Engineer and immerse yourself in a vibrant work culture that champions innovation and collaboration. With competitive pay, opportunities for professional growth, and the chance to work on pioneering blockchain data infrastructure, this role offers a unique environment where your skills can truly shine. Experience the dynamic world of decentralized finance while enjoying the benefits of a hybrid working model in one of the world's most exciting cities.
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Contact Detail:

Nicoll Curtin Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with the latest trends in blockchain technology and data engineering. Being able to discuss recent developments or innovations during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Network with professionals in the crypto and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights and possibly refer you to opportunities.

✨Tip Number 3

Prepare to showcase your technical skills through practical assessments or coding challenges. Brush up on Python, Spark, and SQL, as these are crucial for the role and may be tested during the interview process.

✨Tip Number 4

Research the company’s projects and values. Understanding their mission in decentralised finance will help you align your answers with their goals and show that you’re genuinely interested in contributing to their success.

We think you need these skills to ace Data Engineer

Proficient in Python
Spark
Advanced SQL skills
Data ingestion pipelines
Cloud platforms (ideally AWS)
Big Data technologies
Time series databases
Experience in trading or front office environments
Data modelling
ETL processes
Data warehousing
Collaboration and teamwork
Problem-solving skills
Adaptability to dynamic environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your 5+ years of engineering experience, proficiency in Python and Spark, and advanced SQL skills. Use specific examples from your past work to demonstrate your expertise in data ingestion pipelines and cloud platforms like AWS.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience in trading or front office environments and how it aligns with the company's focus on decentralized finance. Be sure to convey your passion for working with cutting-edge blockchain data infrastructure.

Showcase Relevant Projects: If you have worked on relevant projects, either professionally or personally, include them in your application. Highlight any experience with Big Data and time series databases, as this will strengthen your application and show your hands-on capabilities.

Proofread Your Application: Before submitting your application, take the time to proofread everything. Check for spelling and grammatical errors, and ensure that all information is accurate and up-to-date. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at Nicoll Curtin

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in Python, Spark, and SQL during the interview. Be prepared to discuss specific projects where you've implemented these technologies, especially in relation to data ingestion pipelines.

✨Demonstrate Big Data Experience

Since the role requires solid experience with Big Data and time series databases, come ready to share examples of how you've worked with large datasets. Discuss any challenges you faced and how you overcame them.

✨Familiarise Yourself with Cloud Platforms

As hands-on experience with cloud platforms, particularly AWS, is essential, ensure you can talk about your experience in deploying and managing data solutions in the cloud. Mention any relevant certifications if you have them.

✨Understand the Trading Environment

Given that the position is within a trading or front office environment, brush up on your knowledge of financial markets and trading systems. Be ready to explain how your technical skills can contribute to optimising data processes in this context.

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