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Senior Data Engineer Python Spark AWS

Client Server Ltd.
Posted 15 hours ago, valid for 10 days
Location

London, Greater London EC2V7NQ, England

Salary

£70,000 - £84,000 per annum

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Contract type

Full Time

Life Insurance
Employee Assistance

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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  • The position is for a Senior Data Engineer specializing in Python, Spark, and AWS, with a salary of up to £90k.
  • This role involves working in a supportive international team at a growing European car insurance tech company.
  • Candidates should have strong Python coding skills, experience with Spark or PySpark, and a background in technology or SaaS companies.
  • The company offers flexible remote working options, allowing employees to work from anywhere in the UK.
  • A minimum of several years of experience in data engineering, along with skills in RDBMS, Data Warehousing, and SQL, is required for this position.

Senior Data Engineer (Python Spark AWS) Remote UK to £90k

Are you a tech savvy Data Engineer with strong Python coding skills?

You could be progressing your career in a senior, hands-on Data Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks.

As a Data Engineer you will bridge the gap between Data Scientists / Data Analysts and Software Engineers; from shaping the architecture and requirements, through to designing and building well engineered data pipelines and Data Warehousing solutions for data analytics and data science to support business growth in the UK using a modern tech stack that you'll be able to influence. You'll help lead the transformation by setting up best practices in areas like data modelling, performance optimisation and data governance.

Location / WFH:

The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in the UK; you can also work at times that suit you.

About you:

  • You are an experienced Data Engineer with advanced Python coding skills
  • You have experience with Spark and / or PySpark
  • You have experience of working for a technology / SaaS / software product company
  • You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases

What's in it for you:

As a Senior Data Engineer (Python Spark AWS) you will earn a competitive package:

  • Up to £90k salary
  • Remote working including flexible working hours
  • Workplace nursery scheme
  • Enhanced maternity package
  • 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day"
  • Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme
  • Weekly Yoga and monthly Acupuncture sessions, Headspace membership
  • Diverse, inclusive team environment with a range of support networks
  • A range of other perks including Perkbox, cycle to work, season ticket loan

Apply now to find out more about this Senior Data Engineer (Python Spark AWS) 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.