Incredibles, a Team8 Fintech portfolio company, Building upon the rise of eCommerce, the company focuses on allowing its partners to unlock financing opportunities for their e-commerce sellers. By leveraging deep industry knowledge, traditional and alternative data, and cutting-edge technologies we are set to offer superior creditworthiness assessments for e-commerce businesses. Our product ranges from financial risk assessment and monitoring, underwriting to fully white-label lending services.
Team8 is a company-building venture group that builds and invests in companies specializing in Fintech, enterprise technologies, data, AI, and cybersecurity. The Team8 model supports entrepreneurs with an in-house team of researchers, growth experts, and talent acquisition specialists, and a “village” community of enterprise c-level executives and thought leaders. Whether building a new company from scratch or investing in companies already on their journey, Team8 brings a rich ecosystem to work hand in hand with entrepreneurs in accelerating their path to success.
The Team8 Fintech Team
Bringing unparalleled expertise in banking, credit, e-commerce, payments, capital markets, and wealth management from financial incumbents and startups that have grown into billion-dollar valuation companies.
We’re looking for a curious, creative, ambitious Data Engineer. If you’re all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey!
We are looking for an experienced Data Engineer to take part in architecture and development. Your role will include:
Building pipelines to crawl, clean, and structure large datasets that form the basis of our platform and IP.
Define architecture, evaluate tools, and open source projects to use within our environment.
Take a leading part in the development of our technology platform and ecosystem.
At least 3 years experience with data engineering in Python (or equivalent language)
Experience with cloud platforms (AWS, Google GCP, Azure), working on production payloads on large scale and complexity.
Experience in working with Kubernetes and AWS Lambda functions.
Experience in working on enterprise software, or data/fintech products.
Big Advantage: Experience with AWS services such as Athena, Kinesis, EKS, MSK, and others.
Big Advantage: Hands-on experience with data science tools, packages, and frameworks
Big Advantage: Hands-on experience with ETL Flow