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Data Engineer - Tech/payments - London

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Posted 14 hours ago, valid for 20 days
Location

London, Greater London EC1R 0WX

Salary

£45,000 - £54,000 per annum

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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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  • The job is for a Data Engineer/Analyst in the tech consumer/payments sector located in London.
  • The position offers a day rate of £250 - £300 and is categorized as inside IR35 for a duration of 12 months, starting immediately.
  • Candidates are required to have at least 3 years of experience in data visualization, scripting, and applying data metrics models to business.
  • Key skills include strong proficiency in Python, SQL, Tableau, and experience in data science or machine learning techniques.
  • The role involves developing automation tools and dashboards, collaborating with various teams, and generating actionable insights from performance data.

Data Engineer - Tech consumer/payments - London

Day rate: £250 - £300 (inside IR35)

Duration: 12 months

Start: Now

Hybrid: 2 days a week

My new client looking for a Data Engineer / Analyst, you will be responsible for developing automation tools that help gather performance data from payment partners and curate comprehensive market performance communications and data visualisations. You will work closely with the Business Development and payment Wallet Analytics teams to generate actionable insights from partner performance data, drive partner compliance and help scale the Wallet business in EMEIA.

Description

  • Develop automation tools to collate Wallet partner supplied performance data and merge with data sources
  • Develop and generate internal and external communications that provide actionable insights from Wallet data
  • Partner with Business Development teams to create customised dashboards on our in-house analytics platform
  • Explore opportunities to adopt LLM technology to make data more accessible to internal teams

Key qualifications

  • 3+ years experience in data visualisation, scripting, and applying data metrics models to business
  • Strong proficiency in Python programming (with emphasis on data structures and Excel scripting)
  • Proficiency in query languages such as SQL
  • Experience using Tableau
  • Experience in applying data science / machine learning techniques to provide solutions to real business problems
  • Detail oriented and self-motivated individual able to function effectively when working independently or in a team.

Education

Degree education in relevant field desirable but candidates from all education backgrounds are encouraged to apply.

Additional requirements

  • Excellent verbal and written communication skills.
  • Proficient in English.

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.