Senior Data And Infrastructure Engineer

We are looking for a senior data and infrastructure engineer to join our data team and help transform our company into a truly data-driven organization.

In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.
If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.

Responsibilities:

• Design, develop, deploy, and maintain scalable and open source data solutions that support our rapidly growing international business.
• Build and evolve our data architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.
• Develop and optimize CDC / ETL / ELT pipelines for batch and near real-time data processing.
• Support analytical and machine learning workflows by providing reliable and well-structured datasets.
• Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others).
• Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.
• Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions.
• Evaluate and recommend new technologies (open source / managed), tools, and architectural approaches to enhance our data ecosystem.
• Contribute to technical documentation, knowledge sharing, and best practices within the data team and the wider organization.

Requirements:

• 4+ years of professional experience in data engineering, data warehousing, data ops, or a related field.
• Good hands-on experience in one of the major clouds. AWS preferred.
• Expert hands-on experience required on Linux tools.
• Ability to deploy applications using Docker on bare metal servers.
• Bachelor's degree or higher in computer science, mathematics, physics, engineering, economics, or another quantitative discipline.
• Strong expertise in SQL, PSQL, and relational database concepts, including data modeling and query optimization.
• Experience designing and maintaining data warehouse architectures.
• Hands-on experience with columnar databases and performance optimization techniques.
• Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.
• Solid programming skills in Python or Java, with a preference for Python.
• Good understanding of Linux environments and scripting (Bash).
• Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.
• Experience working with S3-compatible open source solutions and managed solutions.
• Familiarity with data integration, CDC / ETL / ELT frameworks, and large-scale data processing.
• Strong communication skills in English.