Data Engineer

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)