Data Engineer (Service team)

OneMarketData is continuously searching for bright talent with the skills to make an impact. From developers to data scientists, at OneTick, you will have the opportunity to develop and enhance your problem-solving skills using a combination of analytics, imagination, and talent.

Overview

We’re a leading RegTech company, delivering advanced market and trade surveillance solutions to some of the world’s top financial institutions including regulators, exchanges, and brokers.

Our flagship product, OneTick Trade Surveillance, was named Best Trade Surveillance Solution at the TradingTech Insight Awards USA 2025, and is trusted to detect complex forms of market manipulation.

Every day, our systems process and analyze massive volumes of market data - helping firms stay compliant with global regulatory standards like MiFID II, SEC, FINRA, ASIC, and IIROC.

We’re looking for a Data Engineer to help us build and maintain reliable, scalable data workflows that power our trade surveillance platform.

Prior to advancing with your application, we kindly request that you review the CONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated.

You’ll thrive in this role if you’re someone who

• Are a curious and adaptable engineer who enjoys working with complex data flows, transforming large datasets, and adapting systems to real-world business needs
• Want to deepen your skills and further develop as a Data Engineer or Python developer
• Have a genuine interest in the investing and trading domain and are excited about gaining international experience and career opportunities in a high-impact field
  
  

Tech stack

• AWS (EFS, EC2, SGW, ASG, NLB, and more)
• Terraform & Ansible for infrastructure as code
• Kubernetes (K8s) and Docker
• Grafana & Sentry for observability (metrics, logs, alerts)
• OneTick time-series database
• Apache Airflow for data-processing pipelines
• Python 3 as the primary programming and scripting language
  
  

What you’ll do

• Build, maintain, and customize ETL pipelines that process large volumes of data on a daily basis
• Investigate data processing issues and resolve them
• Collaborate directly with clients to gather requirements, provide updates, and ensure successful delivery of data workflows
  
  

Requirements

• Linux: confident with the command line and system fundamentals
• GitLab / Git: working knowledge of Git, understanding of core branching strategies (Git Flow, GitHub Flow, GitLab Flow) and main git commands
• Python: hands-on experience with Python and main tools for data manipulation: Pandas, Numpy, working with datetimes, string transformations
• English: professional working proficiency (spoken and written)
  
  

Will be considered an advantage

• Kubernetes & Docker: ability to explore a cluster, inspect pods/containers
• Experience working with Apache Airflow (especially for managing data processing pipelines)
• Basic knowledge of financial markets and trading workflows: common asset classes (e.g., equities, derivatives, fixed income), trade lifecycle events, and corporate actions
  
  

What we offer

• Flexible working arrangements: full remote, hybrid, or office-based, depending on your location and preferences
• Competitive compensation, aligned with your experience, skillset, education, and local market standards
• Regular performance reviews linked to salary adjustments
• Medical insurance for you and immediate family members
• Professional-development budget to support courses, certifications, and conferences
• Supportive international team
  
  

The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR).

Salaries will be commensurate with experience, education, skillset, and local norms.