About the role
Join our Optimization team at Taktile as a Data Warehouse 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.
Requirements:
- Minimum of 5 years of experience in Python and SQL
- Prior experience in Data Platform 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.
Ideal, But Not Required
- Experience in Iceberg/Athena
- Experience in Python, FastAPI
- Expertise in data engineering topics, SQL, parquet
- Experience with AWS services and serverless architectures.
What we offer:
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
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.
