Launchbay.digital is a direct investment platform enabling professional investors to access equity in private companies. Through our platform, investors receive up-to-date information about the companies they are interested in, have access to real-time portfolio valuation based on actual trade data, and receive recommendations for further investments based on data analytics. There’s also a deal matching engine that allows for the buyers and sellers to identify matched opportunities.

We are looking for a Data Engineer (Middle+/Senior) who would take on tasks related to building the architecture, implementing, and supporting the data management infrastructure of the Launchbay.digital investment platform.

Responsibilities:
Design from scratch, implementation, and maintenance of startup-friendly data management infrastructure (simple, scalable, easy-to-implement and support solutions, low code solutions, low cost or open source, etc.)
Automatic or semi-automatic collecting, storing, and transforming of unstructured data from various dynamic sources (files, APIs, emails, websites, etc.).
Data architecture design and implementation (with possible AI/ML support).

Requirements:
Proven experience as a Data Engineer for no less than 3 years, preferably in the investment funds or Fintech industry
Experience in designing and implementing data management infrastructure from scratch (using modern apps and data platforms, cloud-based solutions)
Deep knowledge of efficient algorithms and data structures
Strong SQL knowledge
Coding proficiency in at least one modern programming language such as: Python, Java, Scala, R, etc.
Strong experience in ETL
Strong analytic skills related to working with unstructured dataset
Autonomy, ability to find the best solution to a problem;
Initiative, implementation of new solutions;
Ideally, experience in data analysis or be a data scientist, experience working with data science libraries and frameworks, AI/ML experience.

Conditions:
Full-time
You will have the opportunity to work remotely
Competitive remuneration based on your salary expectations and the results of the interview

To apply for the vacancy, please fill out this form or send your CV to @o_alexandrovsky