Lead Software Engineer

Lead Software Engineer

Full-Time 70000 - 90000 € / year (est.) No home office possible
Applied Data Science Partners

At a Glance

  • Tasks: Lead software projects from design to deployment, ensuring high-quality solutions.
  • Company: Join a forward-thinking tech company with a collaborative culture.
  • Benefits: Competitive salary, 26 days leave, flexible working, and the latest tech.
  • Other info: Enjoy a supportive environment with opportunities for growth and autonomy.
  • Why this job: Make a real impact while working with cutting-edge technologies and innovative projects.
  • Qualifications: Experience in leading software projects and strong coding skills in Python and SQL.

The predicted salary is between 70000 - 90000 € 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’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.
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 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.

Stage 1: 20 min video call with a member of the hiring team
Stage 2: 45 min Live Coding exercise
Stage 3: 2hr F2F interview in our London office

OUR BENEFITS:

At ADSP, we believe in rewarding talent and supporting your growth. Here’s what you can look forward to as part of our team:

  • Competitive compensation package including annual performance bonus.
  • 26 days of annual leave, 8 bank holidays plus your birthday off.
  • Enhanced family leave.
  • Flexible hybrid working (2 days a week in our modern Shoreditch office).
  • Remote working from anywhere in the world for up to 4 weeks each year.
  • Latest tech that suits your needs: high-spec Windows machine or MacBook.
  • Free snacks and drinks, and regular team socials.
  • Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries.

Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future and have real impact.

Lead Software Engineer employer: Applied Data Science Partners

At ADSP, we pride ourselves on being an excellent employer that fosters a supportive and collaborative work culture. As a Lead Software Engineer in our modern Shoreditch office, you'll enjoy a competitive compensation package, flexible hybrid working options, and the opportunity to work with cutting-edge technologies while contributing to impactful projects. We are committed to your professional growth, offering mentorship and a variety of exciting challenges that will help you realise your full potential.

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

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead Software Engineer role.

Tip Number 2

Prepare for those interviews! Brush up on your coding skills, especially in Python and SQL, and be ready to showcase your experience with cloud deployment and Docker. Practice common interview questions and live coding exercises to boost your confidence.

Tip Number 3

Showcase your projects! Create a portfolio that highlights your best work, especially any full-stack data science projects or complex software solutions you've led. This will give potential employers a taste of what you can bring to their team.

Tip Number 4

Apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Make sure to tailor your application to highlight your leadership skills and technical expertise in software engineering.

We think you need these skills to ace Lead Software Engineer

Software Engineering
Project Management
Python
SQL
Git
Docker
Cloud Deployment (AWS, Azure)

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 deployment, as these are key to what we’re looking for.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about software engineering and how your background aligns with our mission. Share specific examples of projects you've led and the impact they had.

Showcase Your Projects:If you’ve worked on any relevant projects, especially those involving AI systems or data engineering pipelines, make sure to mention them. We love seeing real-life applications of your skills!

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 from our team.

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. This will show that you’re not just familiar with the tech, but that you can also apply it effectively.

Showcase Your Leadership Skills

Prepare examples of how you've successfully managed delivery teams and built strong client relationships. Think about specific instances where you’ve led a project from concept to deployment, and be ready to share how you navigated challenges along the way. This will highlight your ability to lead and mentor others.

Practice Live Coding

Since there's a live coding exercise in the interview, practice coding problems in Python and SQL beforehand. Focus on writing clean, efficient code and be prepared to explain your thought process as you work through problems. This will help you feel more confident during the actual exercise.

Communicate Clearly and Confidently

During the interview, make sure to articulate your ideas clearly, especially when discussing technical concepts. Practice explaining complex topics in simple terms, as you may need to present these ideas to stakeholders who aren’t as technically savvy. Good communication can set you apart from other candidates.