Join a prestigious global investment firm known for its commitment to innovation and excellence. 

The organization thrives with the exchange of ideas, professional development, and a supportive workplace that prioritizes employee well-being through outstanding benefits.

Role Overview
We are seeking a talented and detail-oriented Data Engineer to join the Warsaw-based team. This pivotal role will support the geographical and alternative data research analytics initiatives.  Your contributions will directly impact our investment strategies by ensuring the availability of high-quality, timely data.

Key Responsibilities

• Create and Manage Data Pipelines: Design and oversee robust data pipelines that ensure high-quality datasets are provided to stakeholders.
• Innovative Product Development: Develop cutting-edge tools and solutions that enhance the capabilities of our Data Science & AI team.
• AI and Machine Learning Utilization: Leverage AI and machine learning technologies to automate workflows and improve operational efficiency.
• Collaboration with Investment Teams: Work closely with investment professionals to anticipate and address their data requirements.
• Quality Control Implementation: Establish quality control processes to maintain data integrity and accessibility.
• Incident Management: Monitor alert systems and promptly address any data incidents to ensure seamless operations.
• On-Call Support Participation: Take part in on-call rotations to provide support for our products and investment partners, in line with the "own what we build" philosophy.

Minimum Qualifications

• A Bachelor’s or Master’s degree in Computer Science or a related discipline.
• Over 5 years of experience in software development.
• Strong command of Python (including pandas) and SQL/database management.
• Knowledge of web technologies (HTML/JS, APIs) and networking.
• Proficient in Linux, with Windows experience being a plus.
• Exceptional verbal and written communication skills.

Preferred Qualifications

• Experience in designing infrastructure, data products, and tools tailored for data scientists.
• Skilled in containerizing applications using Docker (experience with Kubernetes is a plus).
• Familiar with build automation tools such as Jenkins and GitLab CI/CD.
• Understanding of cloud technologies, especially AWS.

Benefits:

• Annual Performance Bonus: Earn a bonus based on both individual and company performance, typically equivalent to one month’s salary.
• Health & Wellness: Access premium health coverage, including dental care, for you and your family.
• Life Insurance: Benefit from life insurance coverage worth 24 months of your salary.
• Pension Contributions: Secure your future with a 4% company contribution to your pension (PPK).
• Sports & Fitness: Enjoy a fully covered multisport card starting in September.
• Lunch Allowance: Stay fueled with a daily lunch allowance of approximately 60 zł.
• Parking: Convenient access to parking spots, bookable in advance.
• Flexible Work Arrangements: Choose your in-office days, with a requirement to be onsite 3 days per week.
• Unlimited Contract: Start with an unlimited contract, with an initial 3-month probation period.
• Annual Salary Review: Regular salary reviews ensure your compensation aligns with your contributions and market conditions.