Data Engineer for Financial Time Series

Date Posted:
February 21, 2025
Location:
France
Type:
Full-Time

About Us

We are a cutting-edge startup building foundational time series AI models using transformers, specifically tailored for financial time series data. Our models are trained on vast amounts of stock market data, and we are developing B2B enterprise software to enable banks to leverage these models as-is or customize them for their needs. We are looking for a passionate and versatile Data Engineer to join our team and play a key role in shaping the future of AI-driven financial solutions.  

Role Overview  

As a Data Engineer, you will primarily focus on managing and optimizing the data pipeline for our AI models, ensuring high-quality data ingestion, processing, and storage. You will also contribute to the development of our B2B enterprise software platform, working on both front-end and back-end data needs. This role requires a strong foundation in computer science, experience with AI/ML systems, and familiarity with B2B enterprise software development.  

Key Responsibilities

1. Data Pipeline Development:  

  • Design, build, and maintain scalable data pipelines for ingesting, processing, and storing financial time series data.  
  • Ensure data quality, consistency, and reliability for training and inference of AI models.  
  • Work with large-scale datasets and optimize data storage and retrieval for performance.  
  • Support the needs of B2B enterprise software for streaming data
  • Support the needs of B2B enterprise software for real time data ingestion and processing

2. AI/ML Model Support:  

  • Collaborate with data scientists and ML engineers to understand data requirements for training transformer-based time series models.  
  • Implement tools and frameworks to preprocess and transform financial time series data for model training.  

3. Big Data & Infrastructure:  

  • Work with big data technologies (e.g., Spark, Hadoop, Kafka) to handle large volumes of financial data.  
  • Collaborate with DevOps to manage cloud infrastructure (e.g., AWS, GCP, Azure) for data storage and model deployment.  

4. Cross-Functional Collaboration:  

  • Work closely with product managers, data scientists, and other engineers to deliver end-to-end solutions.  
  • Take on additional tasks as needed, including prototyping new features, optimizing system performance, and troubleshooting issues.  

Requirements:  

Education: 

Bachelor’s degree in Computer Science, Engineering, or a related field (MSc or PhD preferred).  

Experience:

  • Proven experience in data processing, ETL, data transformation, and data maintenance for B2B enterprise software AI/ML applications 
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) storage solutions

Desired Technical Skills:

  • Strong programming skills in Python
  • duckDB (or PostgreSQL / MySQL / MongoDB / Cassandra) – SQL database
  • Parquet – Columnar File Formats
  • Hive (or Iceberg / Delta / Hudi) – For object storage
  • dagster (or dbt / Apache Airflow / Prefect) – ELT Tools
  • Ray Data or Apache Spark or Databricks – For distributed data processing
  • Apache Kafka or Pulsar – For real-time data streaming
  • Snowflake or BigQuery or Redshift – Data Warehousing

Soft Skills:  

  •   Strong problem-solving skills and ability to work in a fast-paced startup environment.  
  •   Excellent communication and collaboration skills in English  
  •   Self-motivated and able to take ownership of projects.  

Preferred Qualifications: 

  • Advanced degree (MSc or PhD) in Computer Science, Data Science, or a related field.  
  • Experience working with financial time series data (e.g., stock market data).  
  • Familiarity with transformer-based models and their data needs
  • Familiarity with time series data
  • Knowledge of financial markets and trading systems.  

What We Offer: 

  • Opportunity to work on groundbreaking AI models and enterprise software in the financial domain.  
  • Collaborative and innovative startup culture.  
  • Competitive salary and equity options.  
  • Flexible working hours and remote work options.  
  • Professional development opportunities.  

How to Apply:  

If you are excited about building the future of AI-driven financial solutions and meet the qualifications above, please send your resume and a brief cover letter to info@quantumsignals.ai 

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