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Data Engineer - Team Optimize

Taktile builds the world's leading software platform for running critical and highly-automated decisions, used for fraud detection, money laundering prevention, and credit access.
Data
Senior Software Engineer
Hybrid
51 - 100 Employees
5+ years of experience
AI · Finance

Description For Data Engineer - Team Optimize

Taktile, a innovative fintech company with offices in Berlin, London, and New York City, is seeking a Data Engineer to join their Optimization team. This role offers an exciting opportunity to build and maintain scalable data warehouse infrastructure using cutting-edge technologies like Iceberg, Athena, and AWS services. The position requires 5+ years of experience in Python and SQL, with a focus on data engineering and ML/AI applications.

The role involves developing crucial infrastructure that powers Taktile's automated decisioning platform, enabling financial institutions to make better decisions through data-driven insights. You'll work on building isolated, regionalized data warehouse systems, developing ML model training tools, and creating efficient APIs that handle production-scale data processing.

As a Data Engineer at Taktile, you'll be part of a diverse team of engineers, entrepreneurs, and researchers from various backgrounds, including alumni from prestigious universities and self-taught professionals. The company culture emphasizes personal growth, innovation, and inclusive collaboration. You'll have direct access to founding team members and the opportunity to shape the company's technical direction.

The position offers competitive compensation, including equity, along with various benefits such as a self-development budget and complete home office setup. Taktile is backed by notable investors including Y Combinator and Index Ventures, and serves clients globally in fraud detection, money laundering prevention, and credit access solutions.

This hybrid role is based out of Taktile's Berlin headquarters, offering the perfect balance between remote work flexibility and in-person collaboration. The company actively promotes diversity and inclusion, welcoming candidates from all backgrounds who can contribute to their mission of revolutionizing automated decision-making in financial services.

Last updated a day ago

Responsibilities For Data Engineer - Team Optimize

  • Build and maintain isolated, regionalized data warehouse infrastructure for customer facing features
  • Develop data tools for improving policy performance, including ML model training and backtesting at scale
  • Design and develop scalable RESTful APIs using Python on AWS
  • Optimize data warehouse efficiency and conduct peer code reviews
  • Collaborate with cross-functional teams in an Agile environment

Requirements For Data Engineer - Team Optimize

Python
  • Minimum of 5 years of experience in Python and SQL
  • Prior experience in Data Engineering/Data Viz/Machine Learning or Artificial Intelligence
  • Fluency in English, both written and spoken
  • Experience with AWS services and serverless architectures (preferred)
  • Experience in Iceberg/Athena (preferred)
  • Experience in Python, FastAPI (preferred)
  • Expertise in data engineering topics, SQL, parquet (preferred)

Benefits For Data Engineer - Team Optimize

Education Budget
Equity
  • Top-of-market equity and cash compensation package
  • Self-development budget for conferences, books, or classes
  • New Apple MacBook Pro and home office setup
  • Mentorship and professional growth opportunities
  • Flat hierarchy with direct communication to founding team
  • Collaborative and inclusive work environment

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