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)