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Product Team Lead

Harrington Starr
London
8 months ago
Applications closed

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Manager, AI Data Engineering (UK Remote)

Manager, AI Data Engineering (UK Remote)

Manager, AI Data Engineering (UK Remote)

Want to work within a team of passionate developers who have the strong belief that putting analytical minds together, you will create the next best generation software?


Join a data analytics scale-up fintech who began their journey just over 8 years ago and have been hugely successful within their market. They are a seeking a unique individual who loves to take ownership of the projects they work on whilst leading a team of strong Python Engineers.


Hybrid working role with flexible working hours based in the City of London.


Be given the opportunity to come in early days within a growing firm and a growing team, working in an open and collaborative environment, bouncing ideas off each other to bring this business on further.


This role involves leading a development team of 8 engineers, working alongside the SaaS applications Product Manager. You will be building AWS cloud-native data science and visualisation applications, using Python, React, Typescript and AWS.


Responsibilities:

  • Lead and manage a development team of Python and Typescript engineers
  • Develop technology roadmaps aligned with business goals
  • Oversee the application design and development, with effective strategies for testability and product quality.
  • Ensure the architecture of the system aligns with best practice and meets the goals for scalability, reliability & security


You will need:

  • Proven experience in managing a development team
  • Expertise in developing single-tenant and multi-tenant B2B SaaS applications
  • Proficient in architecture design using AWS services
  • Experience in hands-on Engineering (Production level Python) - Not just scripting!
  • Experience in data science and financial data visualisation applications in Typescript
  • Excellent communication skills, with the ability to communicate fluently with both technical and non-technical audiences
  • Experience with data science tools, e.g. one or more of Spark, pandas, DuckDB, DataBricks, Snowflake
  • Knowledge of agile development and continuous delivery methodologies


Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

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