data engineer

Enfint; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Relocation support

Access to AI research lab

Experimental hardware

Job summary

Enfint is seeking a data engineering-focused role to design scalable data pipelines for market data, ML workflows, and research-ready features. You will build robust ingestion systems, support quant research and backtesting environments, and collaborate across teams to ensure consistent data models for research and production trading.

Ideal candidates have strong C++ or Python software engineering skills, deep data modeling knowledge, and excellent SQL abilities.

Qualifications

• Experience with market data, order book data, or trading systems.
• Experience supporting machine learning workflows.
• Knowledge of quantitative research and backtesting environments.
• Strong software engineering skills in C++ or Python.
• Experience building production-grade data pipelines.
• Deep understanding of data modeling, storage formats, and data lifecycle management.
• Good SQL skills and handling large datasets.
• English at least B2.

Responsibilities

• Design and maintain scalable pipelines for market, trading, and research data.
• Build reliable ingestion systems for exchange feeds, execution venues, and internal sources.
• Develop data quality frameworks, monitoring, and observability tooling.
• Create standardized datasets for quantitative research, ML, and production trading.
• Optimize storage and retrieval of large-scale time series data.
• Transform raw data into research-ready features with researchers.
• Collaborate with engineering to ensure consistent data models across environments.
• Improve metadata management, lineage tracking, and reproducibility of results.
• Evaluate and integrate new datasets that may provide trading edge.

Skills

C++

Python

SQL

Data pipelines

ML workflows

Quant research

Job description

Описание

The company is a technology-first hedge fund that builds trading systems at the intersection of financial markets, AI, and frontier technologies. It operates an in-house AI research lab, maintains stable long-term funding, and provides access to experimental hardware.

Задачи

• 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;
• Transform raw data into research-ready features in collaboration with 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.

Требования

• Experience working with market data, order book data, or trading systems;
• Experience supporting machine learning workflows;
• Knowledge of quantitative research and backtesting environments;
• Strong software engineering skills in C++ or Python;
• Experience building production-grade data pipelines and distributed data systems;
• Deep understanding of data modeling, storage formats, and data lifecycle management;
• Good SQL skills and practical experience working with large datasets;
• English B2.

Условия

Relocation support is available; Work at the intersection of trading, AI, and frontier technologies; Opportunity to build systems from scratch; Access to an in-house AI research lab; Use of modern and experimental hardware.