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Data Engineer - Trading

Optiver

Amsterdam
Full-time
5-10 years experience
On-site

Key Skills

Data Engineering
ETL/ELT Pipelines
Apache Spark
Structured Streaming
Databricks
Delta Lake
Lakehouse Architecture
dbt
DataOps
Performance Tuning
Scalable Systems
Data Engineering Best Practices
Mentoring
Cross-Regional Collaboration

Job Description

Optiver is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems. As a critical engineering presence in Amsterdam, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle. This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment. What You’ll Do As a Lead Data Engineer, your responsibilities include: Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways Define, document, and enforce data engineering best practices Mentor junior engineers and drive a culture of continuous learning and DataOps excellence What You’ll Get At Optiver, data is central to everything we do. You’ll join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Here, you will: Work with a modern Lakehouse + dbt stack, setting the standards others will follow. See your models and pipelines directly shape decision-making across the firm. Grow alongside experienced data leaders in a culture of excellence, innovation, and continuous improvement. You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets. In addition, you’ll receive: A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool. The opportunity to work alongside best-in-class professionals from over 50 different countries. 25 paid vacation days in your first year, increasing to 30 from your second year onwards. Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses. Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks. Training and continuous learning opportunities, including access to conferences and tech events. Competitive relocation packages and visa sponsorship where necessary for expats. How To Apply Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form. Please note: We do not require any assistance from third-parties including agencies in the recruitment of this role We cannot accept applications via email’ DIVERSITY STATEMENT Optiver is committed to diversity and inclusion .

Core Responsibilities

Design, build, optimize, and maintain reliable data pipelines and production-grade research workflows using Spark, Structured Streaming, Databricks, and related tools. Establish data engineering standards, develop reusable patterns and onboarding resources, and mentor engineers while collaborating with local and global teams.

Requirements

The posting seeks a seasoned, senior-level data engineer capable of translating experimental research workflows into scalable, resilient, high-performance systems. It emphasizes hands-on experience with modern data engineering and Lakehouse technologies, performance optimization, collaboration with power users, and the ability to define best practices and mentor junior engineers.

Benefits

  • Performance-Based Bonus
  • Profit-Sharing
  • Paid Vacation
  • Training and Continuous Learning
  • Health Insurance Discounts
  • Paid Commuting Expenses
  • Meals
  • Coffee
  • Physiotherapy
  • Chair Massages
  • Sports and Leisure Activities
  • Relocation Assistance
  • Visa Sponsorship

About Optiver

Industry: Financial Services

Company size: 1,001-5,000 employees

At Optiver, we continuously quote buy and sell prices across financial markets, using our own capital and advanced technology to provide liquidity at scale across products, venues and market conditions. We are a global company with offices in Amsterdam, Sydney, Chicago, Austin, Taipei, Hong Kong, Shanghai, London, New York, and Singapore.

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