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 in Python.

-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.

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