Data Engineer
Summary
Remote (Poland) Data Engineer role for a payments/fintech client: build and maintain scalable ETL pipelines, data lakes, and data infrastructure while ensuring data quality across systems. Core stack: Python, advanced SQL, Apache Spark, Kafka, Airflow, AWS, Docker, and Git; English and Russian required.
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian.
Experience in fintech.
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits