At a Glance
- Tasks: Develop data pipelines and back-end solutions for live sports data.
- Company: Join Smartodds, a dynamic tech company in North London.
- Benefits: 30 days holiday, in-house chef, private medical insurance, and more.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make an impact in sports tech while growing your skills.
- Qualifications: 2+ years in software engineering with strong Python knowledge.
The predicted salary is between 45000 - 55000 £ per year.
We have a fantastic new opportunity to join our team at Smartodds as a Python Engineer.
Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms.
We are proud of our collaborative and dynamic culture, grounded in our core values of Boldness, Open-mindedness, Ownership, and Togetherness.
We are a supportive and collaborative team – our environment is open, inclusive, and focused on doing great work together.
About the role .
As a Python Engineer, you will be responsible for developing data pipelines and back-end solutions that meet specifications and business requirements.
This will include delivering production-grade software and collaborating with the team to optimise processes to drive continuous improvement forward.
- Hands-on development of our pipelines and back-end applications for the acquisitions of live and post-match sports data
- Deliver high-quality, production-grade products in line with initial specifications and project requirements
- Follow coding and deployment standards set by the data engineering leadership
- Provide accurate project updates, feedback on progress and timelines for deliverables.
- Identify and escalates bottlenecks or issues within the existing codebase and propose technical and infrastructural improvements
- Provide 3rd line support and deploy hot-fixes as required
- Investigate/debug issues as needed
- Dedicate time to personal and professional growth by improving technical skills, expanding knowledge of relevant subjects (sports, injury, technology) and widening experience with other tools and techniques.
Skills & Experiences
- Required
- Previous relevant experience within a mid-level Software Engineering position or at least 2+ years in a Junior Engineering role, working on back-end data solutions and warehousing, with exposure to the technologies listed below
- BSc in computer science or a similar degree
- Advanced knowledge of Python and API development
- Good understanding of data solution architectures with batch processing required, and real time processing knowledge would be an advantage
- Solid foundation with code-testing, preferably with TDD exposure
- Preferred (at least 2 out of the following)
- Advanced knowledge of Django, ORMS
- Experience with message bus (Rabbit MQ/Kafka)
- Experience with CI/CD, Docker, Kubernetes, Gitlab
- Working knowledge with relational databases: Postgre SQL (ideally), My SQL, MSSQL
- Interest in sports, such as football (at least), cricket, tennis, horse racing. Knowledge of their rules and idiosyncrasies
- Others
- Ability to work in the UK
- From Day One
- 30 days holiday (in addition to bank & public holidays)
- In-house chef*
- In-house masseuse*
- Team sporting events
- 25% discount on Brentford Football Club merchandise
- Cycle to work scheme
- Employee Assistance Programme
- Interest-free travel season ticket loan
- Offsite trips
- *Available on selected days
- After 3 Months
- Pension – Employer Contribution starting at 5.5%, and employee starting at 2.5%
- Income protection – 75% of salary (subject to terms & conditions)
- Private Medical Insurance – including coverage of any excess payment
- Life Assurance (4 x times earnings at time of death)
- Enhanced Company Sick Pay
- A discretionary annual bonus
- After 2 Years
- Increase in employer pension contribution to 6% (with a minimum employee contribution of 3%)
- Enhanced Maternity Pay
- Enhanced Paternity Pay
- After 4 Years
- Increase in employer pension contribution to 7% (with a minimum employee contribution of 3.5%)
- #J-18808-Ljbffr
Python Engineer employer: Smartodds Limited
Smartodds is an exceptional employer, offering a vibrant and inclusive work culture in North London that fosters collaboration and innovation. With generous benefits such as 30 days of holiday, private medical insurance, and opportunities for professional growth, employees are empowered to excel in their roles while enjoying a supportive environment. The company's commitment to employee satisfaction and development, combined with its position as a market leader in sports modelling services, makes it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Smartodds Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Smartodds Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Smartodds Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Smartodds Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Python Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Smartodds Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Smartodds Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Smartodds Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Smartodds Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
