Senior Data Engineer

About the Company

The firm is a specialized consultancy in statistics, data science, and AI. We work across industries - including the public sector, insurance, and other data-intensive domains. For this role, we are specifically looking to strengthen our teams working on public-sector projects.

In these projects, we develop solutions that are not only technically challenging but also create a tangible positive impact on society. We are looking for strong Senior Data Engineers who are drawn to complex problems rather than intimidated by them - and who want to build systems that truly make a difference.

Role Overview

Do you want to do more than maintain existing data infrastructures? Are you interested in strategically leading data engineering initiatives and helping shape sustainable data platforms from the ground up? Do you think in terms of data architecture, scalability, quality, security, and operational excellence - and want your work in the public sector to have a visible impact? Then you are in the right place.

As a Senior Data Engineer, you will take technical ownership of the data engineering domain: from architecture and key technical decisions to design, implementation, operations, monitoring, and continuous optimization of data pipelines and platforms. You will develop robust, scalable data solutions that not only work today but remain maintainable and reliable in production over the long term.

What You'll Be Doing

• Lead data engineering topics within projects, drive strategic decisions, and take overall responsibility for this area.
• Design, develop, maintain, and optimize ETL/ELT pipelines.
• Ensure data pipelines remain scalable, maintainable, and efficient as data volumes and the number of data sources grow.
• Define and establish standards and best practices for pipeline design, testing, monitoring, operations, and performance.
• Review changes to data pipelines and data architecture, ensuring compliance with quality standards.
• Work hands-on with the Cloudera/Apache stack as well as modern data stack technologies.
• Ensure data quality, access control, privacy, and security throughout the entire data lifecycle.

Requirements

• Several years of solid experience in data engineering and in a technical leadership role.
• Proven experience designing and implementing scalable ETL/ELT pipelines.
• Experience with both batch and streaming data pipelines.
• Practical experience with modern data stack tools such as dbt and S3/Object Storage.
• Strong understanding of data architecture, scalability, maintainability, and data engineering best practices.
• Excellent SQL skills and solid programming skills, ideally in Python and/or Java.
• Experience with code reviews, establishing engineering standards, and performance optimization.
• A strong sense of ownership and the ability to independently lead and deliver technical initiatives.
• Experience building custom data pipelines from scratch, including without relying on prebuilt frameworks or specialized cloud services.
• Demonstrated experience processing various data formats, such as tabular data, JSON, text, images, and other formats.
• Experience handling confidential, security-sensitive, and personal data.
• Knowledge of Cloudera tooling and the Apache ecosystem is a plus, but not required.

Candidate Requirements

• Ukrainian native speaker
•  English proficiency: B2 or higher