Senior Full-Stack Engineer Python/Data Engineer

vzc Головна Вакансії компанії Intellias Senior Full-Stack Engineer Python/Data Engineer

Project Overview:

Our Swiss client is an independent, partner-owned investment firm founded in 2013, with a growing team of currently 70 people and offices in Switzerland (Pfäffikon SZ & Küsnacht ZH), the United States (New York), Ireland (Dublin), Liechtenstein (Vaduz), and Hong Kong. We are dedicated to a long-term, global investment strategy focused on public equity markets.

Our highly disciplined investment process combines fundamental research expertise and advanced data science. We aim to identify high-quality mid cap stocks with 2X return potential over a time horizon of 5–7 years, equivalent to a 10–15% return per annum. What sets us apart from others is our collective decision making, the level of insight and transparency we offer to our investors, and the use of technology to enhance all aspects of our business.

About team:

The technology department comprises 20 members – 6 Quant Researcher, 5 Data Engineers and 10 Fullstack Developers. We believe in collaboration and collective team intelligence while encouraging individual contributions.

Рекрутерка

Іванна Кукляк

Responsibilities:

Develop, test, and maintain our web application using Python and React.
Design and implement user interfaces using React.
Develop and maintain Python backend services.
Monitor the application and ensure problems are addressed and fixed.
Stay up-to-date with industry trends and advancements in web development and bring new ideas and solutions to the organization.
Participate in code reviews and provide constructive feedback to team members.
Collaborate with cross-functional teams, including quant researcher, software developers and business stakeholders, to understand their data needs and ensure they are met.
Implement and monitor data pipelines to move data from various sources to a central data warehouse.
Monitor the data quality, performance and storage needs to ensure data is up to date and accessible. Optimize the data modell for new scalability requirements.
Stay up-to-date with industry trends and advancements in data engineering and bring new ideas and solutions to the organization.
Provide technical guidance and mentorship to juniors.

Requirements:

This role requires a candidate who is passionate about data and finance, works well in a collaborative team-based environment, and is proactive and intrinsically motivated to go the extra mile.
A Bachelor's or Master's degree in Computer Science or related field.
Expert Knowledge in Python with experience in organizing large code bases. We rely on flask, sqlalchemy, celery heavily (5+years).
Proficient in data modelling and structuring relational databases. Proficient in SQL.
Experience with modern data tools is a plus (like pandas, dask, pyspark).
Experience with Infrastructure / DevOps is a plus (Docker, Cloud, Azure).
Experience with data visualization is a plus (like D3.js).
A good understanding of Finance is a plus (for example Financials, balance sheets, accounting data, FX).

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Higher Education: