At a Glance
- Tasks: Build and scale innovative analytics platforms using Python and cloud technologies.
- Company: Join YLD, a remote-first consultancy with a focus on innovation and collaboration.
- Benefits: Enjoy private healthcare, generous leave, learning budgets, and mental health support.
- Other info: Flexible working hours and a commitment to diversity and inclusion.
- Why this job: Make a real impact by developing cutting-edge solutions in a dynamic team environment.
- Qualifications: Experience in Python, cloud platforms, and data orchestration tools is preferred.
The predicted salary is between 60000 - 80000 £ per year.
Location: UK or Portugal only (remote within either location).
Employment Type: Permanent
Department: Engineering
About YLD
Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.
About the role
As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.
Your day-to-day responsibilities:
- Building, maintaining, and scaling the analytics platform infrastructure that underpins analytics, data science, and reporting capabilities;
- Designing and managing data ingestion pipelines, ensuring reliable and timely flow from multiple sources;
- Implementing and maintaining containerized environments with Docker and orchestration with Kubernetes;
- Supporting continuous integration and delivery of platform components using GitHub Actions;
- Collaborating closely with Analytics Engineers, Data Scientists, and Analysts to deliver scalable, high-performance solutions;
- Monitoring platform performance, identifying bottlenecks, and implementing improvements for reliability and efficiency;
- Participating in team knowledge-sharing sessions, demos, and internal workshops to promote best practices.
Requirements
Preferred qualifications:
- Proven commercial experience in Azure or other cloud platforms;
- Strong proficiency in Python for scripting, automation, and pipeline development;
- Experience with data ingestion and orchestration tools, e.g., Airbyte, Snowflake, or similar;
- Experience with containerization (Docker) and orchestration (Kubernetes);
- Familiarity with CI/CD pipelines and infrastructure automation (GitHub Actions or equivalent);
- Experience with Infrastructure as Code tools such as Terraform;
- Exposure to dbt or similar data transformation tooling is a plus;
- Understanding of distributed systems, cloud infrastructure, and platform scalability;
- Strong problem-solving skills and the ability to debug production issues under pressure;
- Comfortable working in cross-functional teams and collaborating with multiple stakeholders.
You should apply if you are:
- Self-motivated, proactive and always looking for ways to improve and develop yourself;
- A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
- Detail oriented;
- Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
- Used to working in a team-oriented, collaborative environment;
- Analytical and problem-solving-oriented;
- A genuine believer in diversity and fairness.
Benefits
- Company Private Health care
- Enhanced fully paid maternity and paternity leave for up to 6 months
- Pension scheme (UK)
- 25 days annual holiday (excluding Public Holidays)
- £/€2000 annual learning and development budget for training courses and conferences
- £/€300 annual allowance for additional hardware
- Mental Health support: access to Oli app
- Discretionary Bonus (depending on Company performance and results)
- Generous referral schemes
Our typical recruitment process:
- 1st Interview with someone from the Talent team (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
- Get a glimpse of what it’s like working at YLD
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.
Software Engineer (Python/Data) in London employer: YLD
Contact Detail:
YLD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Python/Data) in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the lookout for a Software Engineer role, and who knows? They might just have the inside scoop on openings at YLD or similar companies.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with data ingestion and containerization. Practising common technical questions can really help you stand out during the technical interview.
✨Tip Number 3
Show off your passion! When you get the chance to chat with potential employers, share your enthusiasm for software engineering and how you keep up with industry trends. This will demonstrate that you're not just looking for any job, but that you genuinely want to contribute to their team.
✨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, it shows you’re serious about joining the YLD team and ready to dive into exciting projects.
We think you need these skills to ace Software Engineer (Python/Data) in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for software engineering and data shine through. We want to see that you're not just looking for a job, but that you're genuinely excited about the work we do at YLD.
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud platforms, and containerization. We love seeing how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Be Clear and Concise: In your written application, clarity is key. Use straightforward language to explain your technical skills and experiences. Remember, we appreciate good communication, so make it easy for us to understand your background.
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’re considered for the role. Plus, it shows you’re proactive, which we love!
How to prepare for a job interview at YLD
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any relevant tools like Docker, Kubernetes, and CI/CD pipelines. Brush up on your knowledge of data ingestion and orchestration tools too, as these will likely come up during the technical interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems or improved system performance. YLD values strong problem-solving abilities, so be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since you'll be collaborating with various stakeholders, being able to communicate effectively is key. Think about how you can convey your ideas clearly and concisely.
✨Emphasise Team Collaboration
YLD is all about teamwork, so be prepared to discuss your experiences working in cross-functional teams. Highlight instances where you’ve successfully collaborated with others to deliver projects, as this will show you’re a great fit for their culture.