Every major business function, including Finance, People, Procurement, Tax, and Compliance, operates on its own version of the truth: fragmented, siloed, and manually managed. You'll build the governed data foundation that replaces this, greenfield, on a modern stack, with real architectural ownership and production delivery in your hands.
The Problem You're SolvingOne truth across multiple domains. Multiple business functions. Multiple definitions of the same metrics. Your role is designing and building the unified semantic layer that brings this together. This is a real modelling challenge where getting the business logic right matters as much as getting the code right.
Governance that's engineered, not bolted on. Lineage, access control, column masking, PII classification, and data stewardship are designed into every domain from day one using Unity Catalog and DataHub. The goal is a governance model rigorous enough to hold up to regulatory scrutiny and trusted enough that business teams stop building their own extracts.
The data layer that AI depends on. Optiver is building conversational analytics and AI agents that query business data through a semantic layer. What Databricks Genie surfaces to the business depends entirely on what you build underneath it.
What You'll DoDesign, build, and optimise data pipelines, models, and data products using Databricks, dbt, SQL, and PySpark, transforming fragmented business data into trusted and reusable assets
Build and maintain semantic models that power reporting, self-service analytics, conversational analytics, and Databricks Genie
Implement governance capabilities using Unity Catalog, including lineage, access controls, data classification, and data quality standards across every domain you deliver
Contribute to DataHub adoption through metadata management, lineage capture, and data ownership standards that improve discoverability and trust
Partner with business stakeholders to understand requirements and translate them into production-grade data solutions
Drive engineering best practices through testing, CI/CD, documentation, code reviews, and observability
Collaborate with technical leads to continuously improve data architecture, engineering standards, and delivery practices
Who You Are
8+ years of experience designing and building production data pipelines, data models, and analytical data solutions
Advanced SQL skills with strong hands-on experience using dbt, PySpark, or both. You build scalable data solutions, write tests as standard practice, and have strong data modelling judgement
Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and PySpark-based development
Strong understanding of data modelling, data quality, and building trusted business-facing data products
Experience implementing governance practices, including access controls, lineage, testing, and CI/CD within modern data engineering environments
Experience working with Finance, People/HR, Procurement, Operations, or similar business data domains is advantageous
Strong communication skills and the ability to work directly with stakeholders to solve business problems through data
You'll join a team building the foundations of how Optiver understands and operates its business. The data products you build will be used by business teams, leadership, and increasingly by AI-powered tools and conversational analytics experiences.
You'll work across a broad range of domains, from People and Finance to Procurement and Compliance, gaining exposure to how a global trading firm operates while building solutions on a modern stack that includes Databricks, dbt, Unity Catalog, DataHub, and Databricks Genie.
No prior trading or financial experience is needed – our onboarding program will kick-start your career at Optiver and support you in gaining all the relevant knowledge about our business.
Who we are
At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.
What you'll get
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.
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.
Skills Required
- 8+ years designing and building production data pipelines, data models, and analytical data solutions
- Advanced SQL skills with strong hands-on experience using dbt and/or PySpark
- Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and PySpark-based development
- Strong understanding of data modelling, data quality, and building trusted business-facing data products
- Experience implementing governance practices (access controls, lineage, testing, CI/CD) in modern data engineering environments
- Experience working with Finance, People/HR, Procurement, Operations, or similar business domains
- Strong communication skills and ability to work directly with stakeholders
Optiver Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Optiver and has not been reviewed or approved by Optiver.
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Career-Linked Recognition & Rewards — Pay is considered highly competitive in trading, quantitative, and engineering paths, with performance-linked bonuses that materially elevate total compensation. High performers receive differentiated rewards tied to impact.
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Leave & Time Off Breadth — Generous paid vacation alongside market holidays is a consistent component of the U.S. package. This breadth of leave is a notable element of the offering.
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Healthcare Strength — Comprehensive health coverage—including medical, dental, and vision—is prominently offered in U.S. roles, with indications that employee premiums are fully covered in some cases. Disability and life coverage further strengthen the core health benefits.
Optiver Insights
What We Do
Optiver’s story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam’s options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management.
Why Work With Us
People at Optiver love challenges, welcome collaboration, and strive to be better tomorrow than they are today. Improving the market is an extraordinary challenge that requires a carefully crafted approach. Optiver provides a collaborative working environment to tackle these challenges. In fact, it is this way of working that sets us apart.
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