Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
About the client: It is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The broad range of data-driven solutions in data consulting and digital marketing are designed to meet clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.
About the role: We are looking for a proactive Junior Analytics Engineer to join a dynamic data squad. In this role, you will be responsible for building and deploying analytical solutions, working closely under the guidance of London-based leads. You must be technically capable of executing tasks with a high degree of independence, ensuring that data pipelines are robust and data products are deployed efficiently.
Responsibilities: — Solution Deployment: Build, test, and deploy analytical solutions and data pipelines following best practices established by Senior leads. — Data Transformation: Write clean, efficient SQL/Python code to transform raw data into usable assets for reporting and analysis. — Execution & Independence: Work fairly independently on assigned tasks, proactively troubleshooting technical issues and delivering high-quality work within agreed timelines. — Maintenance: Monitor data pipelines and assist in debugging operational issues to ensure data availability.
Requirements: — 1–3 years of experience in data analytics or engineering. — Strong proficiency in SQL (working knowledge of Python is highly desirable). — Experience with modern data stacks (e.g., dbt, cloud data warehouses). — Ability to work independently and communicate effectively with onshore teams.
Preferred: — Prior exposure to consumer data domains such as Loyalty, Promotions, Subscriptions, or E-commerce.
We offer: — Free English classes with a native speaker and external courses compensation. — PE support by professional accountants. — 40 days of PTO. — Medical insurance. — Team-building events, conferences, meetups, and other activities. — There are many other benefits you’ll find out at the interview.
