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Lead Software Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Applied Data Science Partners Ltd.
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Full Stack Developer, DevOps, Python, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 100000 - 150000 GBP Yearly GBP 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

We are looking for a Lead Software Engineer to drive technical project delivery, guiding teams from concept to deployment while ensuring high-quality, scalable solutions.

If you enjoy seeing your work deployed into ‘real-life’ applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment.

You'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions.

If this sounds like you, we can't wait to hear from you!

KEY RESPONSIBILITIES:
  • Lead the design, development, testing, and evaluation of complex software engineering solutions for the successful delivery of several, simultaneous client projects

  • Build strong client relationships and lead project-centred client interactions

  • Oversee the delivery of high-quality code and successful project outcomes

  • Build processes for extracting, cleaning and transforming data (SQL / Python)

  • Build AI systems using Large Language Models

  • Actively seek out new opportunities to learn and develop

  • Be an example of software engineering best-practice e.g. Git / Docker / cloud deployment

  • Write proposals for exciting new commercial opportunities

  • Line manage and provide career mentorship to other software engineers

  • Manage project delivery teams

  • Collaborate with stakeholders to understand business needs and develop technical strategies

  • Take ownership of the development and implementation of internal processes and policies

  • Proactive thought leadership to encourage development and promote ADSP

  • Contribute to the development and deployment of delivery solutions

  • Build processes for extracting, cleaning and transforming data (SQL / Python)

KEY REQUIREMENTS:
  • Experience of successfully leading complex software projects, including a holistic understanding of the development process, from design through to deployment, and associated project management and risks

  • Experience of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects

  • Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development

  • Experience of leading the design, development, testing, and deployment of software solutions

  • Experience of developing data engineering pipelines, backend services and APIs

  • Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends

  • Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion

  • Understanding of cloud deployment (e.g. AWS, Azure) and Linux scripting (e.g. bash)

  • Advanced Docker skills with a deep understanding of Docker storage, volumes, and Linux permissions

  • Ability to implement CI/CD pipelines (e.g. Azure Dev Ops, Git Hub actions) along with automated PR checks and repository rules

  • Ability to successfully manage delivery teams

  • Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements

  • Ability to think strategically and make complex decisions

  • Effective organisational skills e.g. planning, time management

  • Strong communication skills, including leading meetings and presenting technical concepts to stakeholders

  • Effective problem-solving and analytical skills, with high attention to detail

INTERVIEW PROCESS:

Stage 1: 20 min video call with a member of the hiring team

Stage…

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