At a Glance
- Tasks: Lead the design and development of innovative software solutions and data engineering pipelines.
- Company: Join a forward-thinking tech company that values collaboration and creativity.
- Benefits: Enjoy competitive pay, flexible working, and a generous annual leave policy.
- Other info: Dynamic work environment with opportunities to work on diverse projects.
- Why this job: Make a real impact with cutting-edge technology while growing your skills.
- Qualifications: Expertise in Python, cloud deployments, and a passion for mentoring others.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Software Engineer (Backend) to play a pivotal role in leading the design, development, and deployment of complex software solutions. You will architect and maintain data engineering pipelines, backend services, and APIs, delivering reliable and scalable systems that address business needs across diverse industries. This position requires deep expertise in software engineering concepts, advanced coding abilities (preferably Python), and hands-on experience with cloud deployments, databases, and containerisation (Docker). 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:
- Contribute to the design, development, and deployment of robust software solutions, promoting best practices throughout the software development lifecycle.
- Contribute to architecting and maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance.
- Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards.
- Support cloud-based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced Docker skills including storage, volumes, and permissions.
- Develop and implement database solutions using SQL and Cloud platforms, with a focus on optimising performance and data integrity.
- Mentor and guide junior engineers, facilitating knowledge sharing and the adoption of best engineering practices.
- Troubleshoot and enhance existing systems, applying advanced problem-solving and analytical skills.
- Effectively communicate technical concepts and project outcomes to stakeholders through written documentation, calls, and presentations.
- Demonstrate high attention to detail across all development activities, contributing to deliverables that meet technical and business requirements.
- Remain up to date with emerging software engineering technologies and industry trends and proactively suggest improvements and new approaches.
- Identify technical risks and contribute to project planning and task management, helping to achieve successful outcomes.
KEY REQUIREMENTS:
- Mastery of at least one programming language (preferably Python) with deep understanding of advanced technical concepts (system architecture, microservices, cloud-native design, OOP, concurrency, decorators, recursion).
- Experience in delivering, designing, and deploying scalable software solutions and complex software projects, including backend services, data engineering pipelines, and APIs.
- Experience in DevOps practices, such as CI/CD, version control (Git, GitHub, Azure DevOps), infrastructure as code, and collaborative workflows.
- Experience with Docker development workflows, including DockerFiles, storage, volumes, and production-grade deployments.
- Strong understanding of databases (SQL Server, Postgres) and ORMs (e.g., SQLAlchemy, Prisma), including database migrations (Alembic).
- Advanced knowledge of cloud deployment (AWS, Azure) and Linux scripting (e.g., bash).
- High attention to detail with a thorough approach to code review and testing.
- Track record of mentoring, establishing engineering best practices, and code quality assurance.
- Effective communication skills, able to convey complex technical concepts to diverse audiences (stakeholders, technical/non-technical).
- Demonstrated ability to work independently and make architectural decisions.
- Ability to identify, propose, and implement improvements to engineering processes.
- Strong problem-solving skills and analytical thinking.
- Hands-on experience with cloud infrastructure (deployment, monitoring, scaling).
INTERVIEW PROCESS:
- Stage 1: 20 min video call with a member of the hiring team.
- Stage 2: 45 mins live coding task.
- Stage 3: 90 min F2F interview in our London office.
OUR BENEFITS:
- Competitive compensation package including annual performance bonus.
- 26 days of annual leave, 8 bank holidays plus your birthday off.
- BUPA Private Healthcare.
- Enhanced family leave.
- £1,000 annual development budget.
- 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 a 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.
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.
Senior Software Engineer (Backend) in London employer: Applied Data Science Partners
At ADSP, we pride ourselves on being an exceptional employer, offering a competitive compensation package and a supportive work culture that fosters growth and innovation. Our modern Shoreditch office provides a collaborative environment where you can thrive, with flexible hybrid working options and a commitment to employee development through a generous annual budget. Join us to work on diverse projects in a forward-thinking team that values your contributions and encourages autonomy.
Contact Details:
Applied Data Science Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Backend) in London
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, attend meetups, or join online communities. You never know who might have a lead on that perfect Senior Software Engineer role.
✨Tip Number 2
Prepare for those interviews like a pro! Brush up on your Python and SQL skills, and be ready to showcase your problem-solving abilities. Practising coding challenges can really help you shine during the live coding task.
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After your interviews, drop a quick thank-you note to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Check out our website for the latest job openings! We’re always on the lookout for talented individuals like you. Applying directly through us gives you a better chance to stand out!
We think you need these skills to ace Senior Software Engineer (Backend) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with backend services, data engineering pipelines, and APIs. We want to see how your skills align with the role, so don’t hold back on showcasing your Python expertise!
Show Off Your Projects:Include any relevant projects or contributions you've made, especially those involving cloud deployments and Docker. We love seeing practical examples of your work, so feel free to link to your GitHub or any live demos.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your technical skills and experiences, as we appreciate effective communication just as much as coding prowess.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with cloud deployments, Docker, and databases. They’ll likely ask you to explain complex concepts, so being able to articulate your knowledge clearly will set you apart.
✨Showcase Your Problem-Solving Skills
Prepare to tackle a live coding task during the interview. Practice common algorithms and data structures, and think aloud as you solve problems. This will demonstrate your analytical thinking and problem-solving abilities, which are crucial for the role.
✨Highlight Your Mentorship Experience
Since mentoring junior engineers is part of the job, be ready to share examples of how you've guided others in the past. Discuss any best practices you've established and how you've contributed to a collaborative team environment.
✨Communicate Effectively
During the interview, focus on conveying technical concepts in a way that’s easy to understand. Practise explaining your previous projects and their outcomes to non-technical stakeholders. This will show that you can bridge the gap between tech and business needs.
