Python Data Engineer

Arini; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private medical care

Multisport card

Lunch card

Additional life insurance

Job summary

Arini Capital Management is seeking a Data Engineer with strong Python skills to join our growing team. You will develop datasets, build fast data delivery frameworks, and create tools for error checking and data visualization, focusing on robust production-grade code.

You will collaborate with the quant team and business stakeholders to deliver scalable data solutions, with the role offering hybrid work (4 days in office, 1 day remote) in Warsaw.

Qualifications

• 3-6 years of data/quant/software engineering experience.
• Strong numerical and problem solving skills.
• Exceptional Python programming and data processing with Pandas.
• Knowledge of additional data science packages (NumPy/Numba/Scipy).
• Demonstrated passion for technology and willingness to learn.
• Excellent time-management and ability to handle multiple priorities.

Responsibilities

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

Skills

Python

Data processing

Problem solving

Time management

Ownership

Finance knowledge

Tools

Pandas

NumPy

Numba

SciPy

Job description

Arini Capital Management is a specialized alternative asset manager with a diverse credit investment offering across public and private credit, supported by a highly sophisticated global institutional investor base. Founded in 2021 with a primary focus on European credit markets and an approach rooted in fundamental credit analysis, Arini manages capital across a range of strategies, including long/short credit, structured credit, opportunistic credit, direct lending and asset-backed finance. The firm has global operations in London, New York and Abu Dhabi.

Position Description: We are looking for a Data Engineer with strong Python programming skills to join our growing team. We are seeking someone with strong analytical and problem-solving skills, a passion for technology, and a desire to continuously learn and develop. Experience in finance, particularly with corporate credit instruments or fixed income products, would be advantageous but is not essential.

Responsibilities will include (but not limited to):

• Develop and maintain the datasets used by teams across the company.
• Build and enhance frameworks for delivering this data fast and reliably.
• Build and enhance tools for error checking and data visualisation.
• Write robust, production-level code with a focus on reliability and performance.
• Contribute to wider data management and infrastructure decisions.
• Contribute to wider quant team analysis and reporting.
• Collaborate with stakeholders across the business to deliver business solutions.
• Ensure all developed solutions are scalable and maintainable within the tech stack.
• Ah-hoc and long-term projects as required by the business.

Skills & Qualifications:

• 3-6 years’ experience in data / quant / software engineering roles.
• Strong numerical and problem solving skills.
• Exceptional programming skills with Python are required, as are strong data processing / manipulation skills in Pandas.
• Some knowledge of other data science packages such as NumPy, Numba, Scipy is expected.
• Demonstrated passion for technology.
• Desire to keep learning and self-develop.
• Excellent time-management skills, including the ability to juggle multiple priorities and meet deadlines.
• Strong work ethic, with ability to work in a fast-paced environment.
• Dedicated team player and strong sense of ownership.
• Experience working in finance and familiarity with corporate credit instruments is a plus.
• Private medical care
• Multisport card
• Lunch card
• Additional life insurance

Working model

• Hybrid: 4 days from the office (Rondo ONZ), 1 day from home