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Data Engineer

Company
Da Vinci
Type
Graduate position
Location
Amsterdam
Sector
Trading

Description

As a Data Engineer, you 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 member of the team, 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 optimise 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 visualisation
  • 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)