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Contract Data Engineer in FinTech

London - Remote, Full Time or Contract

Ollie Maitland Mar 21, 2019

About US

Capitalise.com is an award winning financial marketplace for accountants with over 1,200 firms using the platform both as a SaaS platform and on the free version.

We’re looking to hire a creative technologist to help us address our data challenges. To excel in this role you will need to be curious and tech savvy - staying up to date with evolving algorithms and have an understanding of statistical analysis, mathematics, data modeling and programming.

You’re analytical, capable of solving complex problems and will thrive in an environment that challenges you to make data useful - so it has an impact on the decisions of our team, our customers and their clients that we support.
 

purpose of the role

As a Data Engineer you will be helping us make the most of our growing collections of data. You’ll contribute towards our analysis pipelines and data warehouse, helping us create meaningful insights into our customers and their clients behaviours in order to support decision making for our product, marketing and commercial teams.

We’re not set on a particular approach, language or toolset, so this role has the scope to help define and own our data science function.
 

Responsibilities at Capitalise.com

You will be responsible for designing solutions to solve complex analysis requirements using a mixture of technologies you have expertise in. You will help define and evolve how we build analysis and machine learning to transform our data, and help us find answers to our questions.

  • Contribute towards the development of our data warehouse
  • Maintaining and improving efficiency and accuracy of data extraction, transformation and loading (ETL)
  • Automating and integrating our data into processing pipeline
  • Work on analysis requirements from various internal stakeholders 
  • Research and develop solutions to overcome complex analytics challenges
  • Creating learning/mathematical models that resolve our requirements
     

What experience are we looking for?

General

  • Experience working in Scrum/Kanban/XP environments
  • A genuine interest in data, analytics, machine learning and programming
  • Bonus: Experience in one or more of Fintech, financial services or credit/risk profiling

Data Analysis:

  • Good understanding and experience with at least one data language (e.g MySQL, Postgres, Mongo)
  • Experience writing and maintaining complex SQL queries

Digital project delivery:

  • Track and report project delivery
  • Report on project progress and identify risks
     

It would be nice to have, but not essential...

Software engineering:

  • Some understanding of a prefered programming language (R, PHP, Python, Rust, Scala etc)
  • Experience in implementing processing algorithms in your chosen language

Data Analysis:

  • Experience with machine learning techniques (classification, regression, decision trees et al)
  • Experience with data visualisation and/or statistical tools (e.g. RapidMiner)
     
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