Technical Lead (Python)

Vacancy description

StartUs Insights, an international data science company mapping the world's information on startups, scaleups and their technologies.

We operate a proprietary DAG stateful-stream-processing information retrieval system think of a search engine. We run container-based with distributed and scalable agents.

Our Stack is Python, Kafka, Scrapy, PostgreSQL, Elastic Search, Docker.

IF YOU ARE:

Passionate about working on the world's largest startup search engine and use your talent planning, building and operating critical information systems that convert raw data to knowledge — then you are at the right place!

YOU BRING:

• 5+ years work experience with big data / data engineering / DAG stateful-stream-processing / data pipelines
• Strong practical knowledge of Python and its librariesExperience with: Elastic Search, PostgreSQL, Docker
• Familiar with stream platforms eg Kafka
• Enjoy processing large, unstructured data-sets from multiple sources
• Profound understanding of software development principles Good written and spoken English

We offer

• Work with the global innovation and startup intelligence leader
• Join an environment where your decisions shape the future of the entire organization
• Work fully remote, with a strong distributed team that stay connected
• Regular visits to our HQ in Vienna AT and other company hot-spots
• Enjoy 25 paid work-free days per year
• Full-time remote position 40 hrs / week
• Competitive package and semiannual performance reviews

Responsibilities

• Lead the design and operation of scalable data systems to map the world's information on startups, scaleups and technologies

Project Description

• StartUs Insights, an international data science company mapping the world's information on startups, scaleups and their technologies.
• We operate a proprietary DAG stateful-stream-processing information retrieval system (think of a search engine). We run container-based with distributed and scalable agents.
• Our Stack is Python, Kafka, Scrapy, PostgreSQL, Elastic Search, Docker.