#vacancy #dataengineer #relocation
Hi everyone!
Всем привет! Вакансия в международной компании с релокацией
New #vacancy #position #openvacancy #opening #hire #dataendineer #C++ #Python
#вакансия #релокация
Research Data Engineer
About the Team
- We are building a large, proprietary hedge fund where technology is the core advantage.
- The goal is to remove legacy constraints and rethink financial market forecasting using modern systems, new hardware paradigms, and frontier AI.
- The fund operates tightly with an internal AI Research Lab; together we design and own the full stack: from research ideas to production trading systems.
About the Role
- Company is building autonomous research systems for financial markets.
- We believe that superior research comes from superior data.
- We are looking for a Data Engineer to build and operate the data platform that powers our researchers, AI systems, and trading infrastructure.
- You will own the lifecycle of market, execution, alternative, and internal research data — from ingestion and validation to storage, enrichment, and delivery.
- This role sits at the intersection of distributed systems, quantitative research, and machine learning.
- Your work will directly impact how quickly new ideas can be tested, how reliably models can be trained, and how efficiently strategies can be deployed.
What You Will Do
- Design and maintain scalable pipelines for market, trading, and research data.
- Build reliable ingestion systems for exchange feeds, execution venues, alternative datasets, and internal data sources.
- Develop data quality frameworks, validation checks, monitoring, and observability tooling.
- Create standardized datasets used across quantitative research, machine learning, and production trading systems.
- Optimize storage and retrieval of large-scale time series data.
- Work closely with researchers to transform raw data into research-ready features (data preparation and collection for researchers).
- Partner with engineering teams to ensure consistent data models across research and production environments.
Improve metadata management, lineage tracking, and reproducibility of research results.
- Evaluate and integrate new datasets that may provide trading edge.
What We Are Looking For
- Experience working with market data, order book data, or trading systems (required).
- Experience with exchanges (required).
- Experience supporting machine learning workflows.
- Knowledge of quantitative research and backtesting environments.
- Strong software engineering skills in C++ and Python.
- Experience building production-grade data pipelines and distributed data systems.
- Deep understanding of data modeling, storage formats, and data lifecycle management.
- Strong SQL skills and practical experience working with large datasets.
- English B2/C1.
Location: Relocation to Dubai or the Netherlands.
DM @KEKatarina
