TL;DR

Senior Data Engineer: Designing, building, and maintaining scalable data pipelines and backend components with an accent on data processing systems and API development. Focus on architecting and optimizing data infrastructure, ensuring scalability, and collaborating cross-functionally to deliver high-impact product features.

Location: Remote, Poland

Company

%hirify_global% is a market-leading Digital Adoption Platform empowering organizations to improve technology adoption and productivity for employees worldwide.

What you will do

Design, build, and maintain scalable data pipelines and backend components including databases, APIs, and services.
Analyze business requirements and impact on software design.
Propose and implement architectural changes to support new features and improve infrastructure.
Develop and maintain RESTful APIs following industry best practices.
Collaborate with internal and external teams to integrate software within the product ecosystem.
Stay updated with new trends and technologies to improve engineering processes.

Requirements

Location: Remote work with presence in Poland
Minimum 5 years experience in data processing system design and development.
Experience with DBMS like ClickHouse or other SQL-based OLAP databases.
Proficiency with data engineering tools such as Airflow, Kafka, and dbt.
Programming experience in Python, Golang, and Typescript.
Knowledge of containerization technologies like Docker and Kubernetes.
Experience with CI/CD pipelines and automated testing.
Fluent English communication skills required

Culture & Benefits

High-performance culture with diverse, motivated team from over 20 countries.
Global leader in the Digital Adoption industry.
Personalized development plans, coaching, and training budget.
Attractive financial compensation on a B2B contract basis.