We are building a lean, high-impact data & algorithms platform that powers real-time, data-driven decisions on top of large volumes of time-series and event data.
The project is at an early stage, so every technical decision you make will have a visible impact. You’ll work closely with the founder and a small analytics team to turn ideas into production-grade systems.
👨🏻💻Your Responsibilities**:**
You will be the core Middle Python developer responsible for designing, implementing, and maintaining our data pipelines and internal services.
You will:
-Design, implement and maintain Python-based services for processing large volumes of time-series and event data.
-Build and extend internal simulation / analytics tools using Python (pandas, numpy, etc.).
-Develop and maintain integrations with internal and external APIs and data providers.
-Write clean, well-structured, well-tested code and documentation for the features you own.
-Collaborate with the founder and a junior analyst to translate ideas into robust, production-ready solutions.
Qualifications (Middle)
-3+ years of experience building data-intensive or backend systems inPython.
-Strong knowledge of API design, integrations, and internal/external service communication.
-Solid computer science fundamentals, as system design, algorithms, data structures and complexity.
-Hands-on experience with pandas, numpy, and data manipulation for large datasets
(experience with scipy, scikit-learn, statsmodels is a strong plus).
-Experience with relational & non-relational databases (e.g. MySQL/PostgreSQL, MongoDB).
-Practical experience with Docker, Linux-based servers, and deploying cloud services.
-Familiarity with Git/GitHub, Jira/Linear, and modern CI/CD workflows.
-Ability to independently own features end-to-end and deliver high-quality, well-tested code.
-At least technical English, ability to read and understand technical documentation. Verbal communication and written skills is a plus.
Nice to Have:
-Deep experience with the scientific Python stack (scipy, scikit-learn, statsmodels).
-Experience with Jenkins or more advanced DevOps tooling.
-Experience designing or operating distributed, high-availability systems.
-Background in statistics, time-series analysis, or risk / analytics systems.
-Familiarity with environments where correctness, reproducibility, and auditability are critical.
**💻**How We Work & What We Offer:
-High ownership: You will be a key Python developer for the core platform, with the opportunity to grow into a lead role as the team expands.
-Direct impact: You work directly with the founder; there is no long hierarchy between decisions and implementation.
-Lean, focused team: Minimal bureaucracy, clear priorities and room to shape the technical direction.
-Learning & growth: Strong exposure to both deep Python engineering and DevOps/infrastructure in a real production environment.
-Office & perks: Centrally located and well-equipped office (game & entertainment room, napping beds etc.).
-Food & comfort: Lunch, drinks, sweets and fruits are all provided by the company.
-Health: Private health insurance.
**⏰**Working hours:
-You’ll be working 5 days a week from 10 a.m. to 7 p.m. (13:00-14:00 lunch time). Four days will be based in the office, and one day (Friday) you can work from home.
**💰**Salary
-Competitive and negotiable based on experience and knowledge, including a performance-based bonus package.
Application Guidelines:
Please submit your application through our Career Page.
In the Cover Letter section, make sure to include:
A brief note describing the relevant projects you have led or owned.
(If available) links to your GitHub, portfolio, or any other supporting materials.
We look forward to reviewing your application!
✅ Please be advised that only shortlisted candidates will be invited to the further stages of the recruitment process.
