Lead Software Engineer (London)

Lead Software Engineer (London)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Applied Data Science Partners

At a Glance

  • Tasks: Lead software projects from concept to deployment, ensuring high-quality solutions.
  • Company: Join a forward-thinking tech company that values collaboration and innovation.
  • Benefits: Enjoy competitive pay, performance bonuses, generous time off, and professional growth opportunities.
  • Why this job: Make a real impact by working on cutting-edge technology and leading exciting projects.
  • Qualifications: Proven experience in software project leadership and strong coding skills in Python and SQL.
  • Other info: Be part of a diverse team committed to inclusivity and personal development.

The predicted salary is between 36000 - 60000 £ per year.

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 will 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 are 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.
REQUIREMENTS (Essential):
  • 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 DevOps, GitHub 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.
REQUIREMENTS (Non-Essential):
  • Experience of contributing to the drafting of technical policies, standards and procedures.
  • Experience of contributing to technical bid activities and proposal writing.
  • Deep understanding of data analysis methodologies and best practices.
  • Ability to effectively line manage and mentor others.
OUR COMMITMENT 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.

Company Benefits:
  • Market Competitive Compensation: We benchmark salaries regularly to ensure you're paid fairly for the impact you make.
  • Annual Performance Bonus: Your hard work deserves recognition, and we reward it with a bonus tied to your performance and our success.
  • Generous Time Off: You'll get 26 days of annual leave plus.

Lead Software Engineer (London) employer: Applied Data Science Partners

At ADSP, we pride ourselves on being an exceptional employer that values innovation and collaboration. As a Lead Software Engineer, you'll be part of a dynamic team where your contributions directly impact client success while enjoying a culture that promotes continuous learning and professional growth. With competitive compensation, generous time off, and a commitment to diversity and inclusion, ADSP offers a rewarding environment for those looking to make a meaningful difference in the tech industry.
Applied Data Science Partners

Contact Detail:

Applied Data Science Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Software Engineer (London)

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Lead Software Engineer role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python, SQL, and cloud deployment. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with leading software projects and how you've tackled challenges in the past. Practice makes perfect!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lead Software Engineer (London)

Software Engineering
Project Management
Python
SQL
Git
Docker
Cloud Deployment (AWS, Azure)
Data Engineering Pipelines
APIs
Object Oriented Programming (OOP)
CI/CD Pipelines
Analytical Skills
Problem-Solving Skills
Communication Skills
Team Leadership

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your experience with Python, SQL, and cloud platforms, as well as any leadership roles you've had in past projects.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led software projects from concept to deployment and how you’ve built strong client relationships.

Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Include details about your experience with Docker, CI/CD pipelines, and any advanced Python concepts you’re familiar with. We love seeing candidates who are passionate about tech!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!

How to prepare for a job interview at Applied Data Science Partners

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of Python, SQL, and cloud platforms like AWS or Azure. Be ready to discuss your experience with complex software projects and how you've led teams through the development process.

✨Showcase Your Leadership Skills

Prepare examples of how you've successfully managed delivery teams and built strong client relationships. Highlight your ability to mentor others and lead project-centred interactions, as this is key for a Lead Software Engineer role.

✨Demonstrate Problem-Solving Prowess

Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach complex problems, implement CI/CD pipelines, or handle project risks. This will show your analytical skills and attention to detail.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's projects, team dynamics, and future technologies they plan to explore. This not only shows your interest but also helps you gauge if the company aligns with your career goals.

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