Data Engineer • Mid-Level

Who you are

You have experience in Data Engineering or Analytics Engineering, ideally with exposure to Finance, People, or Business Operations data. Your advanced SQL and dbt skills allow you to model for analytics effectively, and you have hands-on experience with Databricks or equivalent Lakehouse platforms. You understand data governance and quality frameworks, ensuring that data is reliable and secure. Strong communication skills enable you to work directly with business stakeholders, translating complex requirements into clear, reusable data products.

What you'll do

As an Enterprise Data Engineer at Optiver, you will build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks. You will design curated models and semantic layers to standardize KPIs across Finance, People, and Operations. Partnering directly with business teams, you will turn complex requirements into actionable data products. Implementing governance and quality checks will be a key part of your role, ensuring that data is reliable and secure. You will also contribute to platform best practices, including CI/CD, naming conventions, and testing frameworks, to enhance the overall data transformation process.

What we offer

At Optiver, we are committed to building a diverse and inclusive workplace. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a collaborative team that values innovation and excellence in data management, contributing to our mission of improving the market by injecting liquidity and providing accurate pricing.