We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.
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
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
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)