Data Operations Engineer (Data Sre)

Oxford Knight; Greater London; On-site; GBP 80,000 - 115,000; Full time

Benefits offered by this job

Industry-leading bonus

Flat structure

Generous benefits

Office perks

Job summary

Oxford Knight seeks a Data Operations Engineer (Data SRE) in London to bolster data reliability for trading platforms. You will be the first-line contact for traders and researchers, resolving data issues, enhancing data pipelines, and implementing quality controls.

You'll work with Lakehouse ecosystems and real-time data, collaborating with Data Engineering and Trading teams to deliver robust, scalable APIs and datasets for high-performance analytics.

Qualifications

• 3+ years in data reliability/ops roles in time-sensitive environments.
• Proficient in Python with Pandas, Arrow and Spark.
• Strong data modeling, normalization and API development for large-scale systems.

Responsibilities

• Serve as first-line contact for traders and researchers.
• Investigate and resolve user issues in a high-performance trading environment.
• Address data quality concerns and manage alerts.
• Integrate new datasets and ensure pipelines and APIs are robust and production-ready.

Skills

Python

Pandas

Spark

APIs

Data modeling

Tools

Delta Lake

Databricks

AWS

Job description

This is a fantastic opportunity to work at a tech-focused market maker with groundbreaking success in the high frequency trading space. They’re now seeking a motivated data reliability engineer with strong Python skills.

You’ll join Global Data Engineering in London; a highly talented team with a dedicated focus on supporting the Trading teams. This role offers the opportunity to combine hands‑on engineering with high-impact operations.

As first‑line support for the trading environment, you will be the point of contact for traders, researchers, and other internal users. You can expect a varied workload, including investigating and resolving user issues, addressing data quality concerns, working with vendors and managing alerts. You will also cover integrating new datasets, configuring quality controls, and ensuring pipelines and APIs are robust, scalable, and production‑ready.

The successful Data Operations Engineer will have outstanding collaboration skills, with strong operational instincts: taking ownership of issues, communicating clearly under pressure and caring deeply about system reliability.

Requirements

• 3+ years’ experience in a similar role in a high-performance/time-sensitive environment (e.g. Data Engineer, SRE, Software Engineer, Data Operations)
• Strong proficiency in Python, including libraries such as Pandas, Arrow & Spark
• Solid understanding of data modeling, normalization, and API development for large-scale analytical or trading systems

Nice to Have

• Experience with Lakehouse architectures (e.g. Delta Lake, Databricks, AWS)
• Exposure to real‑time and historical market data (e.g. fixed income/Credit, ETFs, equities)

Rewards and Incentives

• Great base salaries and industry‑leading bonuses
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Generous benefits package, including commuting expenses, breakfast and lunch facilities, regular social activities and more
• Direct business impact with short feedback loop

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Data Operations Engineer (Data SRE) • London