Data Engineer in London

Data Engineer in London

London Full-Time 32000 - 48000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join an exciting project to build a document processing system using NLP and NER.
  • Company: Innovative client offering a unique remote contract role.
  • Benefits: Flexible hours, competitive rate, and the chance to work on cutting-edge technology.
  • Other info: Part-time role perfect for balancing other commitments or personal projects.
  • Why this job: Make a real impact while gaining exposure to data science and NLP.
  • Qualifications: Strong Python skills; experience with Elasticsearch and AWS is a plus.

The predicted salary is between 32000 - 48000 £ per year.

This is a SC cleared project (Outside if IR35) which will require the data engineer to be a British Citizen or held permanent residence in the UK for the last 5 years as a minimum. You don't need to hold a current clearance; the client will sponsor this.

The client requires a Data Engineer to work alongside their lead data scientist on the discovery and buildout of a document processing system built around NLP utilising NER. This is an exciting project that will be building a system to eventually handle millions of documents across a huge business area.

Strong Python skills are essential as this is very much a hands-on coding role building out the back end of the system and allowing seamless integration with other systems. Elasticsearch would be useful as well as experience with AWS. Experience with spaCy would also be highly advantageous.

Key Skills:
  • Python
  • Elasticsearch
  • AWS
Desirable:
  • NLP / NER
  • Experience with document processing systems
  • spaCy

Location: Fully Remote

Duration: 8 Weeks initial with likely extension

Hours: 3 Days per week which could increase to 4 - this is NOT a Full time role initially

Rate: Circa £400 / Day - Appreciate this is not the highest rate in the world for these skills - the client do not necessarily need someone who has been doing it for 10 years plus rather someone who is excited about the opportunity and getting more exposure to data science generally and specifically NLP.

Start Date: After SC vetting completed (4-6 weeks)

This is a unique role in that it is fully remote and 3 days per week - this would suit a contractor who maybe has some other commitments or personal projects that aren’t full time and is happy to work on a part-time basis.

If this role sounds of interest please submit your CV via the link and someone will be in touch with you to discuss further.

Data Engineer in London employer: Emtec

Emtec is an exceptional employer located in the vibrant city of Edinburgh, offering a supportive work culture that prioritises employee development and career progression. As a Trainee Quantity Surveyor, you will benefit from competitive salaries, generous holiday allowances, and hands-on experience in the dynamic field of building services, making it an ideal place for aspiring professionals to thrive and grow.

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Contact Details:

Emtec Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in London

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.

Tip Number 2

Get your hands dirty with some projects! If you haven't already, start building your own document processing system or play around with NLP tools like spaCy. Showcasing your skills through personal projects can really make you stand out.

Tip Number 3

Prepare for those interviews! Brush up on your Python skills and be ready to discuss how you've used Elasticsearch and AWS in past projects. Practice common interview questions related to data engineering and NLP to boost your confidence.

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, it shows you're serious about landing that Data Engineer role with us!

We think you need these skills to ace Data Engineer in London

Python
Elasticsearch
AWS
NLP
NER
spaCy
Document Processing Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your Python skills and any experience with Elasticsearch, AWS, or NLP. We want to see how your background fits the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Use your cover letter to express your excitement about the project and how you can contribute. We love seeing passion for data science and document processing, so let that shine through!

Be Clear and Concise:When filling out your application, keep your language straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see your qualifications!

Apply Through Our Website:Don’t forget to submit your application via our website! It’s the best way for us to receive your details and get in touch. Plus, it shows you’re keen on joining the StudySmarter team!

How to prepare for a job interview at Emtec

Know Your Python Inside Out

Since strong Python skills are essential for this role, make sure you brush up on your coding abilities. Be prepared to discuss your past projects and how you've used Python in real-world scenarios. Practising coding challenges can also help you feel more confident.

Familiarise Yourself with NLP and NER

This project revolves around document processing systems using NLP and NER. Take some time to understand these concepts and be ready to explain how they work. If you have experience with spaCy, be sure to highlight it during the interview.

Show Enthusiasm for the Project

The client is looking for someone excited about the opportunity and eager to learn. Make sure to express your interest in the project and how it aligns with your career goals. This can set you apart from other candidates.

Prepare Questions About the Role

Having thoughtful questions ready shows that you're genuinely interested in the position. Ask about the team dynamics, the technologies they'll be using, or how success will be measured in this role. This not only helps you gauge if it's the right fit but also demonstrates your proactive attitude.