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- Tasks: Build innovative products and maintain scalable analytics platforms.
- Company: Remote-first consultancy focused on software engineering and data solutions.
- Benefits: Private healthcare, generous leave, learning budget, and mental health support.
- Other info: Flexible working environment with excellent career growth opportunities.
- Why this job: Join a dynamic team and make a real impact with cutting-edge technology.
- Qualifications: Experience in Python, cloud platforms, and containerization tools.
The predicted salary is between 36000 - 60000 £ per year.
Location: UK or Portugal only (remote within either location).
Department: Engineering
Employment Type: Permanent
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.
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 you’ll receive:
- 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)
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) employer: YLD.com
Contact Detail:
YLD.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Python/Data)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research YLD and their projects, and think about how your skills in Python and data engineering can contribute. Practice common technical questions and be ready to showcase your problem-solving skills.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. We at StudySmarter recommend applying through our website to streamline your application process and get noticed faster!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. It’s also a great chance to reiterate why you’re a perfect fit for the team.
We think you need these skills to ace Software Engineer (Python/Data)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any relevant cloud platform experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can contribute to our team. Share specific examples of your problem-solving skills and teamwork.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving data ingestion or containerization, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at YLD.com
✨Know Your Tech Stack
Make sure you brush up on your Python skills and any relevant tools like Docker, Kubernetes, and CI/CD pipelines. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about challenges you've faced in building scalable architectures or debugging production issues, and be ready to explain your thought process.
✨Communicate Clearly
Since effective communication is key, practice explaining technical concepts in simple terms. You might be asked to describe your work to non-technical stakeholders, so being able to bridge that gap will impress the interviewers.
✨Emphasise Team Collaboration
YLD values teamwork, so be prepared to discuss how you've worked in cross-functional teams. Share experiences where you collaborated with data scientists or analysts, and highlight your contributions to team success.