Position: Data Engineer
Company: 8allocate
Experience required: 5y
English level: upper

Project: You will work closely with Machine Learning engineering teams to anticipate company needs for creating data pipelines & datasets required to support ML solutions development. You will help create, improve and extend the underlying data infrastructure that powers our ML teams, thus simplifying the development and deployment cycles of our ML solutions.

Our client is a uniquely positioned data science and Intelligence insights product company. They enable the creation of enterprise-level AI-empowered Business Applications for data-intensive organizations that impact both top line and bottom line.

The company is building a knowledge-based Digital Transformation platform (ELEMENT), and the world's first Cloud AI Operating System (CAIOS), which, without much fuss, are already serving some of the world’s leading financial brands.

**You're a great candidate if you:** 
— 3+ years of experience as a Data Engineer working in Python;
— 4+ years of experience with AWS or other public cloud platforms (GCP, Azure, etc.) and corresponding data tools (e.g. AWS Athena, etc.);
— Good working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases;
— A successful history of manipulating, processing, and extracting value from large datasets;
— Experience building and optimizing data pipelines & architectures;
— Strong analytical skills related to working with structured datasets;
— Excellent verbal and written English communication skills for effective communication in a multicultural environment with teams spread throughout the world.

**Main responsibilities:**
— Collaborate with ML teams to drive the data infrastructure roadmap;
— Support the company’s internal ML teams with data engineering best practices;
— Build complex automated data pipelines for creating datasets for ML products, facilitate efficient data management;
— Build data extraction & scraping pipelines for creating datasets from open web data;
— Help establish standards, practices for managing ML teams’ data infrastructure;
— Write clean and tested code that can be maintained and extended by fellow engineers.

What's from us:
— You’ll work with a supportive and spirited team of professionals;
— Corporate events, holidays, and team buildings for your joy;
— Training and development: we have a huge library (about 500 books!) and a budget for your professional development;
— People-oriented management without bureaucracy;
— Paid vacation and sick leaves;
— Relocation program: if you are from another city and want to move to Kyiv, we will be happy to help you!

Why choose us?
— “Family and Friends”. We are no longer a start-up, but still, have a family atmosphere in our supportive and spirited team, who are all working together on the same goal.
— “Just break down all barriers and find a better way”. Every day you’ll meet with interesting and challenging (international) projects that are covering industries from commercial aviation to fintech (different technologies, different products).
— “Hungry for learning”. You will get a lot of chances for career advancement and the development of new skills, opportunities for mentorship, or learning from more experienced colleagues.

Will you skip this opportunity today, or will you join us tomorrow?
We are waiting for you!