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Data Engineer Python PySpark AWS

Client Server Ltd.
Posted 15 hours ago, valid for 3 days
Location

London, Greater London W12 9JB, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Data Engineer position is available in London with a salary of up to £65k, offering a hybrid work environment.
  • The role involves building a centralized data platform using modern technologies like Python, PySpark, and AWS services.
  • Candidates should have at least a 2.1 degree in a STEM discipline and commercial experience as a Data Engineer.
  • The position includes perks such as fully paid trips to Dubai, 25 days of holiday, and opportunities for career development.
  • Strong communication skills and a collaborative mindset are essential, with additional experience in AWS Glue being preferred.

Data Engineer (PySpark AWS Glue) London / WFH to £65k

Are you a technologist Data Engineer looking for an opportunity to work with modern technology with continual learning and development opportunities?

You could be joining a global events management company that specialise in large scale corporate and prestige event planning and enjoying perks such as trips to the Dubai and a global event of your choice (fully paid for!).

As a Data Engineer you will help to build out a new centralised data platform to store huge amounts of data associated with the events including millions of contacts, you will build with systems with security in mind to protect this information and enable marketing to send email campaigns of c2.5 million at a time. There's a modern tech stack; you'll mainly be using Python, PySpark and AWS services but will also gain skills with AWS Glue, AWS Lambda, Airflow, CI/CD and Github. You'll be working with complex data centric systems that require high levels of security to protect the identity of dignitaries who attend events.

Location / WFH:

You'll join the team in the London four days a week with flexibility to work from home one day a week.

You'll also be able to enjoy fully paid for trips to the Dubai office 2-3 times a year to meet up with the team there, with opportunities to work in Dubai fulltime including relocation package.

About you:

  • You have achieved a 2.1 or above in a STEM discipline, Computer Science preferred
  • You have commercial experience as a Data Engineer
  • You have strong Python and PySpark skills
  • You have AWS Glue experience
  • You're collaborative with great communication skills and enthusiasm to learn and progress as a Data Engineer
  • Experience with any of the following would be great but you can pick it them up on the job too: AWS Lambda, Airflow, CI/CD, Github

What's in it for you:

  • Competitive salary - to £65k + Bonus
  • Fully paid for attendance at your choice of one of the company's global events per year
  • 25 days holiday plus ability to buy/sell 5 days
  • Training and career development
  • Fully paid for travel to Dubai for work
  • Hybrid / flexible working

Apply now to find out more about this Data Engineer (Python PySpark AWS Glue) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.