Quantitative Data Operations Engineer

At Susquehanna weve always thrived on staying ahead of the market. While speed and complexity defined the past today data is the frontier for unlocking trading edge. Our European Quantitative Engineering and Data (QED) group is expanding rapidly creating powerful algorithms datasets and platforms that fuel revenue generation.

Based in Dublin and collaborating with teams in London and across the globe we work at the intersection of Engineering Operations and Research. Were building scalable high-performance systems that transform how traders and researchers use data and were looking for passionate engineers to join us.

The Role

As a Quantitative Data Operations Engineer youll be at the centre of our trading and research ecosystem. Youll partner directly with traders researchers and engineers to ensure that operation of our data platforms meets the business needs.

This isnt a passive support role youll spend a significant portion of your time writing production scripts and code a well as wrangling our systems to produce the data we need for trading and research. We dont pretend our systems are perfect in fact when you are at the bleeding edge the one constant is change and unplanned work. You will need to be able to navigate this ambiguity and feedback to engineers your insights into how our platforms can evolve.

What Youll Do

• Operate critical research data systems used daily by traders and quants (Airflow and proprietary data systems).
• Monitor data systems in US and EMEA ensuring business readiness as part of our follow-the-sun support model.
• Orchestrate data pipelines & dependencies e.g. compute cluster storage config data locality.
• Be the first point of contact for researchers and traders helping to remove blockers and accelerate the business.
• Participate in a daily rota in a rolling early and late shift pattern and an on-call rota.
• Use AI and agents to remove toil that frees up time for system improvements.
• Champion best practices ensuring changes are reliable performant and globally consistent.
• Lead incident post-mortems and follow up on learnings.

• A degree in a STEM discipline.
• Scripting skills in Python and bash.
• Experience with orchestration tools such as Airflow is a plus.
• Comfort working in a Linux environment.
• Strong problem-solving mindset with a drive to unblock peers and improve systems.
• Ability to balance short-term demands with long-term architecture improvements.
• Collaborative communicative and detail-oriented.
• Interest in quantitative trading and financial markets.

Why Join Us

• Impact at scale: Your code will directly support trading and research across global markets.
• Growth & learning: Gain deep exposure to trading quantitative research and large-scale data engineering.
• Cutting-edge challenges: Work on high-performance big data systems in a mission-critical environment.
• Collaborative culture: Partner with world-class quants traders and engineers.
• Career acceleration: This is a high-visibility role at the heart of a rapidly expanding team.