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 multiple client projects
- Build strong client relationships and lead project-centred client interaction
- Manage and mentor engineering project teams
- Encourage innovation and continuous improvement
- Collaborate with stakeholders to understand business needs and develop technical strategies
- Build processes for extracting, cleaning and transforming data (SQL / Python)
- Oversee the delivery of high-quality code and successful project outcomes
- Line manage and provide career mentorship to other software engineers
REQUIRED SKILLS:
- Degree in a quantitative field such as engineering, mathematics, finance
- Experience of leading meetings and presenting technical concepts to stakeholders
- Experience of successfully leading complex software projects
- Experience of mentoring and managing software teams
- Experience of leading the design, development, testing, and deployment of software solutions
- Experience of leading code reviews in Python and SQL through Git, and applying other best practices to technical projects
- Experience of developing data engineering pipelines, backend services and APIs
- Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development
- Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends
- Deep expertise of at least one programming language
- Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash)
- Deep understanding of data analysis methodologies and best practices
- A holistic understanding of the software development process, from design through to deployment, and associated project management and risks
- Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions
- Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion
- Excellent communication skills through written reports and presentations
- Ability to review others’ code
- Ability to support bid and proposal writing
- Ability to effectively line manage and mentor
INTERVIEW PROCESS:
Stage 1: 20 min video call with the Hiring Manager
Stage 2: Task/Case Study
Stage 3: 90 min F2F interview in our London office
OUR COMMITTMENT TO DEI:
At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai
#J-18808-Ljbffr…