Lead Data Engineer – Lakehouse for Real-Time Trading

Optiver

Amsterdam

On-site

EUR 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Breakfast
Lunch and Dinner
Barista Coffee
Physio & Chair Massages
Sports & Leisure Activities
Friday Drinks
Conferences & Training
Relocation Support
Visa Sponsorship
Paid Vacation 25–30 Days

Job summary

Optiver is seeking a seasoned Lead Data Engineer to advance our Lakehouse architecture and data capabilities for the Amsterdam-based research team. You will translate experimental research workflows into scalable, production-grade systems using Databricks, Apache Spark, and Delta Lake.

As a lead contributor in Amsterdam, you will influence local data strategy while collaborating with Global Research and Data Platform teams.

Qualifications

  • Extensive experience designing and building ETL/ELT pipelines.
  • Experience delivering production-grade data pipelines and platforms.
  • Ability to mentor engineers and promote DataOps practices.

Responsibilities

  • 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

Skills

ETL/ELT pipelines
Data modeling
Mentoring
Cross-functional collaboration

Tools

Databricks
Spark
Delta Lake
dbt

Job description

Optiver is seeking a seasoned Lead Data Engineer to advance our Lakehouse architecture and data capabilities for the Amsterdam-based research team. You will translate experimental research workflows into scalable, production-grade systems using Databricks, Apache Spark, and Delta Lake.

As a lead contributor in Amsterdam, you will influence local data strategy while collaborating with Global Research and Data Platform teams.

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