Data Operations Engineer

Requirements

• 3+ years of experience in a Data Engineer, SRE, Software Engineer, or Data Operations role in a high-performance or time-sensitive environment.
• Strong proficiency in Python, including libraries such as Pandas, Arrow, and Spark.
• Solid understanding of data modeling, normalization, and API development for large-scale analytical or trading systems.
• Experience with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) for managing large, high-quality analytical datasets is preferred.
• Exposure to real-time and historical market data (e.g., fixed income/Credit, ETFs, equities) is a plus.

What You'll Be Doing

• Serve as a frontline data operations point of contact for traders, researchers, and other internal users.
• Investigate and resolve data quality issues and freshness anomalies across critical datasets.
• Monitor ingestion pipelines, scheduled processes, and real-time feeds—triaging and addressing alerts promptly to minimize data-related impact on trading.
• Communicate directly with external data vendors to resolve upstream issues, clarify specification changes, and ensure timely delivery of accurate datasets.
• Develop and maintain robust data pipelines (ETL/ELT) that feed both real-time trading and analytical research systems.
• Implement data quality checks, anomaly detection, and monitoring frameworks to proactively identify and prevent issues.
• Model and normalize complex financial datasets so they are clean, structured, and reliable for downstream systems.
• Build and maintain high-performance APIs that expose market and reference data to trading, research, and analytics platforms.
• Partner closely with traders, researchers, and engineering teams to understand evolving data needs and design reliable, scalable solutions.
• Contribute to the architecture and evolution of Optiver’s global data platform, ensuring it meets the growing demands of data-intensive trading strategies.

Perks and Benefits

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
• 27 paid vacation days plus all UK public holidays.
• Daily breakfast and lunch, along with support on commuting expenses.
• Private medical insurance, pension scheme, and ClassPass fitness membership.
• Training and continuous learning opportunities, including access to conferences and tech events.
• International transfer opportunities for global career growth.