Principal Data Engineer

Reposted 6 Days Ago
Be an Early Applicant
Amsterdam, NLD
In-Office
Mid level
Fintech • Quantitative Trading
The Role
Design and build scalable ELT pipelines and curated data models on a Databricks Lakehouse. Partner with business teams to create reliable data products, implement governance and quality checks, and enable BI and self-service analytics while contributing to platform best practices.
Summary Generated by Built In

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 Solving

One 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 do

 

  • Architect and own delivery of shared data products across Finance, People, Procurement, and Compliance, from design decisions through to production

  • Build and evolve the semantic layer that powers reporting, self-service analytics, conversational analytics, and Databricks Genie, writing the models, tests, and documentation that make it trustworthy

  • Design and build scalable data pipelines, data models, and governed data products using Databricks, dbt, SQL, and PySpark

  • Implement governance capabilities end-to-end, including Unity Catalog access controls, column-level security, data classification, lineage, and data quality standards

  • Drive DataHub adoption by defining metadata standards, lineage definitions, and data ownership models that make discoverability a first-class engineering concern

  • Translate complex and ambiguous requirements from senior stakeholders into production-grade data solutions, owning the problem from conversation to deployed model

  • Set the engineering standard for the team through the quality of your code, architecture decisions, and pull request reviews

  • Partner with the broader data team to continuously improve CI/CD, testing frameworks, observability, and data quality practices

Who you are


  • 12+ years of experience designing and building production data solutions, with a track record of leading complex technical initiatives end-to-end.

  • Track record of architectural ownership and designing end-to-end data solutions

  • Expert-level SQL and data transformation skills, with strong hands-on experience in dbt, PySpark, or both. You design data products for scale, write tests without friction, and have clear opinions on where each tool's limits are

  • Deep experience with Databricks, Lakehouse architectures, or comparable modern data technologies, including Delta table design, Unity Catalog governance, compute trade-offs, and downstream BI or AI workloads

  • Experience implementing governance at scale, including access control, PII handling, column-level security, data lineage, and data quality management in production environments

  • Experience building trusted business-facing data products within Finance, People/HR, Procurement, Operations, or similar domains. You understand business logic well enough to challenge unclear or incorrect requirements


Why This Is Challenging

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

  • Experience in Data Engineering or Analytics Engineering (with exposure to Finance, People, or Business Ops data)
  • Advanced SQL and dbt skills, with experience modeling for analytics (dimensional, medallion, vault)
  • Hands-on experience with Databricks or equivalent Lakehouse platforms
  • Experience building ELT pipelines using dbt, SQL, and PySpark
  • Understanding of data governance and quality frameworks (lineage, testing, RBAC)
  • Strong communication skills and ability to work directly with business stakeholders
  • Familiarity with CI/CD, naming conventions, and testing frameworks for data platforms

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Chicago, IL
1,600 Employees
Year Founded: 1986

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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