REQUIREMENTS:

• 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, is crucial to lead communication in our globally distributed environment.

OUR STANCE:

• We’re eager to meet talented and driven candidates regardless of whether they tick all the boxes. We’re looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply
• We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won’t inquire about how you identify or if you’ve experienced discrimination, but if you want to tell your story, we are all ears

ABOUT US:

Taktile is building the world’s leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.
Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.
Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath

ABOUT THE ROLE:

Join our Optimization team at Taktile as a Data Engineer. You will build isolated, scalable data warehouse infrastructure for finance teams on AWS using Iceberg/Athena/Jupyter/Parquet. Support operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies at scale through the use of production data.
Location: Taktile operates on a hybrid model. This role is based out of our Berlin HQ.

WHAT YOU’LL DO:

• Build and maintain isolated, regionalized data warehouse infrastructure for use in customer facing features.
• Develop data tools for improving policy performance, such as training ML models on historical data and backtesting at scale.
• Design and develop scalable and network optimized RESTful APIs using Python on AWS, leveraging services such as Lambda, S3, SQL and Parquet.
• Optimize data warehouse efficiency, conduct peer code reviews, and produce technical documentation.
• Collaborate with cross-functional teams in an Agile environment to translate business requirements into technical solutions.