Financial Data Engineer
Fully Remote, Bielsko-Biała15 960 — 25 870 PLN net/month - B2BWe exist to delight. Delight our coworkers and delight our customers.
Values we cherish the most are Ownership, Excitement, Learning, Communication and Teamwork, but if there is one word to describe SoftKraft, it would be: delight.
We delight our coworkers by providing a challenging environment for their personal and professional growth. In many different ways and dimensions.
Our coworkers' continuous growth is a foundation for our customers' delight. Delight achieved by extreme ownership, attention to detail and excellent communication.
To keep delivering delight on a range of our projects, we need your support!
What we offer:
- Salary aligned with your experience and skills (15 960 - 25 870 PLN netto b2b),
- Flexible working hours (just ensure some overlap with others for occasional standups),
- 100% remote, we have cozy offices in Bielsko-Biała if you are into working with us directly (yes, we have decent coffee machine there),
- Work in a well-coordinated team, in a company created by programmers for programmers, where we take the idea of Extreme Ownership by heart,
- Average experience of our co-workers in the company is 9 years. You will be able to learn a lot from those guys. We apply a mentorship program where needed,
- Well established development and communication,
- You will get an opportunity to grow not only as a professional but also as a person, as we dedicate significant effort in building soft skills and culture of our community.
Tasks, duties and responsibilities:
- Understanding the existing data sets and systems to migrate to a new platform,
- Working a part of the rotation support with the other team members,
- Engaging with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets,
- Conducting data analysis to assess data quality and drive business decisions,
- Appliying robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets,
- Engaging with technical and non-technical clients as SME on data asset offerings,
- Communicating with stakeholders on project deliverables.
Requirements and tech stack:
- Experience with Python and SQL is required. Experience in Linux, Java, and noSQL are a plus,
- Experience working with FTP, API, S3 and other distribution channels to source data,
- Proficient with software lifecycle and version control systems such as GIT,
- Experience working in Financial domain knowledge, e.g. bonds, rates and understand Financial symbology: e.g. Sedol, Cusip, symbols from data vendors,
- Proficient working in Exchange data, e.g. bid/offer orders, minute bar,
- Experience working with Large time series data: hundreds of millions to billions of rows, e.g. having knowledge on how to process, aggregate, do data quality checks on these relatively large data sets.