Python Data Engineer - Finance Data Pipelines, Hybrid Work

Arini; Warszawa; Hybrid; PLN 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

Private medical care

Multisport card

Lunch card

Additional life insurance

Zusammenfassung

Arini Capital Management is seeking a Data Engineer with strong Python skills to join our growing team in a hybrid setup. You will develop datasets, build fast data delivery frameworks, and create tools for validation and visualization, collaborating with the quant and business teams.

We value candidates with 3–6 years in data/quant/software roles, solid problem solving, and a passion for technology. Finance familiarity is a plus, and a proactive learner mindset is essential.

Qualifikationen

• 3-6 years’ experience in data / quant / software engineering roles.
• Strong numerical and problem solving skills.
• Exceptional programming skills with Python and strong Pandas data manipulation.
• Knowledge of NumPy, Numba and SciPy is a plus.
• Passion for technology and desire to continuously learn.
• Excellent time-management and ability to handle multiple priorities.
• Strong work ethic and ownership mindset.
• Finance experience with corporate credit instruments is advantageous.

Aufgaben

• Develop and maintain datasets used by teams across the company.
• Build and enhance data delivery frameworks for speed and reliability.
• Create tools for error checking and data visualisation.
• Write robust, production-grade code with a focus on performance.
• Contribute to data management and infrastructure decisions.
• Support the quant team with analysis and reporting.
• Collaborate with stakeholders to deliver business solutions.
• Ensure solutions are scalable and maintainable within the tech stack.
• Handle ad-hoc and long-term projects as required by the business.

Kenntnisse

Python

Pandas

NumPy

Numba

SciPy

Data processing

Problem solving

Finance knowledge

Team player

Jobbeschreibung

Arini Capital Management is seeking a Data Engineer with strong Python skills to join our growing team in a hybrid setup. You will develop datasets, build fast data delivery frameworks, and create tools for validation and visualization, collaborating with the quant and business teams.

We value candidates with 3–6 years in data/quant/software roles, solid problem solving, and a passion for technology. Finance familiarity is a plus, and a proactive learner mindset is essential.