About Da Vinci

Da Vinci is a proprietary trading house founded in 2015 and specialised in solving market inefficiencies, identifying opportunities based on volatility arbitrage strategies and providing liquidity to the markets. We are headquartered in the home of the world’s first stock market, Amsterdam, and we have additional offices in Mumbai and Miami. Today, we trade on the most prominent exchanges across South America, Asia and the US. Our vision is set on sustainable growth.

We always keep our work smart and innovative and are building a team of trading enthusiasts. The key to our success is hiring not only intelligent but inventive, laser-focused and highly efficient individuals. Across all departments, Da Vinci is made up some of the sharpest minds and most passionate players in the industry. We are non-hierarchical and support employees in exploring their interests and strengths, placing no limit on personal growth.

About the role

We are looking for an entry-level Data Engineer to strengthen our Trading Intelligence team. This role would be responsible for assisting the team in overseeing data pipelines, databases, and tooling. This is an ideal position for a recent graduate who is looking to gain work experience in an international and dynamic environment. As a Data Engineer, you will get the opportunity to work closely with the business, obtain insights into key data processes, and start your professional career within the trading industry.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a once-in-a-lifetime opportunity to be part of a successful and fast-growing company.

Responsibilities:

• Develop, maintain, and optimize data pipelines and workflows
• Build and maintain data infrastructure, including databases and ETL processes
• Ensure data accuracy, integrity, and availability for internal use
• Support the team in data analysis and visualization
• Automate data processing tasks and create tools for data-driven decision-making
• Collaborate with various departments to fulfill data requirements and deliver data-driven insights
• Handle various day-to-day data engineering tasks

Requirements:

• Degree in a technical field (Computer Science, Data Engineering, Information Technology, or similar quantitative studies)
• 0-4 year of relevant work experience in data engineering or related fields
• Strong programming skills in Python and experience with SQL
• Experience with data pipeline tools, cloud platforms and data warehouse solutions is a plus
• Knowledge of ETL/ELT processes, data integration, and automation of data workflows
• Experience with distributed systems and big data technologies (e.g., Hadoop, Spark) is an advantage
• Comfortable working with version control systems (e.g., Git)
• Strong problem-solving skills and ability to work with large datasets efficiently
• Excellent attention to detail and ability to ensure data accuracy and integrity
• Structured, organized, and able to meet deadlines in a fast-paced environment
• A flexible mindset and eagerness to learn new technologies
• Good written and verbal communication skills in English

Benefits:

• An opportunity to learn from some of the most qualified professionals in the industry
• Base salary of EUR 70 to 80K
• Excellent variable pay and growth opportunities
• Company pension scheme
• 1k yearly budget for learning and development
• Meals during work hours
• Social events and after-work drinks
• Reimbursement of travel costs
• Sponsored gym membership
• In-house game room (pool table, board games and console games)