Middle Data Engineer

We are seeking an experienced Data Engineer to develop and support reliable data infrastructure across our systems. In this role, you will create scalable data pipelines, maintain data accuracy and consistency, and connect external data sources. Your main goal will be to ensure smooth data movement and strengthen analytics capabilities throughout the organization. You will also help shape our data architecture, apply engineering best practices, and work closely with cross-functional teams to transform raw data into meaningful, actionable insights.

Requirements
3+ years of commercial experience in Data Engineering
Experience gathering business requirements and communicating with stakeholders
Strong knowledge of Data Warehouse (DWH) architecture and principles
Hands-on experience designing data warehouses and building ETL pipelines
Deep practical experience with Python
Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
Proficiency in SQL and relational databases such as PostgreSQL and MySQL
Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
Solid understanding of software design patterns, algorithms, and data structures
Intermediate English proficiency

Will be a plus
Experience with messaging platforms such as RabbitMQ or Kafka
Familiarity with DataOps practices and data pipeline automation
Familiarity with CI/CD pipelines and Kubernetes environments
Background in FinTech or Trading domains

Responsibilities
Communicate with technical and non-technical stakeholders to gather and clarify business requirements
Review and analyze data and business logic to ensure consistency, accuracy, and reliability
Design, implement, and maintain data pipelines for efficient and scalable data processing
Integrate, maintain, and support data solutions and third-party data sources
Research and evaluate third-party tools, services, and components for potential use
Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
Design, optimize, and maintain data storage solutions

What we offer:
Tax expenses coverage for private entrepreneurs in Ukraine
Expert support and guidance for Ukrainian private entrepreneurs
20 paid vacation days per year
10 paid sick leave days per year
Public holidays as per the company’s approved Public holiday list
Medical insurance
Opportunity to work remotely
Professional education budget
Language learning budget
Wellness budget (gym membership, sports gear and related expenses)