NLP Data Engineer (NLP)

TL;DR

NLP Data Engineer (NLP): Designing, implementing, and monitoring complex data pipelines from multiple sources with an accent on developing robust data onboarding and ETL systems directly consumed by quantitative investment strategies. Focus on building and operating ML inference pipelines and extracting structured data using LLMs.

Location: Onsite work required, as indicated by daily in-office benefits.

Company

hirify.global develops and deploys systematic financial strategies focused on market inefficiencies, producing high-quality predictive signals through its proprietary research platform.

What you will do

• Design, implement, and monitor complex data pipelines from various sources with different formats and latencies.
• Collaborate with data, technology, and research teams to develop robust data onboarding systems.
• Develop and test ETL systems directly consumed by quantitative investment strategies.
• Build and operate ML inference pipelines.
• Utilize Large Language Models (LLM) for structured data extraction.
• Continuously learn about finance, global markets, and quantitative investment.

Requirements

• BSc/M.Sc. in Computer Science, Engineering, or a related discipline from a leading university.
• Demonstrated experience programming scalable and robust software in Python.
• Proven experience building or maintaining data pipelines.
• Experience with building and operating ML inference pipelines.
• Experience with using LLM for structured data extraction.
• Basic knowledge of probability and statistical theory.
• Experience working in Linux environments.
• Strong communication skills to express complex concepts.
• English: B2 required.

Nice to have

• Experience in the financial services industry.
• Knowledge of workflow scheduling techniques, such as Airflow.
• Prior experience working with text data in a data science/quantitative project environment.

Culture & Benefits

• Competitive and attractive compensation package with a clear career roadmap.
• Strong culture of learning and development through training courses, a library, speakers, and share-and-learn events.
• Work alongside smart and talented individuals.
• Premium Health Insurance and Employee Assistance Program.
• Generous time-off policy, recreation sabbatical leave (based on tenure), and Trade Union benefits.
• Monthly team-building activities, including employee clubs for various sports and games.
• Opportunity to attend an annual company trip and occasional global conferences to connect with global teams.
• Daily happy-hour with tea break, snacks, and meals in the office.