Data Engineer
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on May 29, 2026.
Workplace: remote
Workload: Full-time
Type of Contract: B2B
Key Responsibilities
Development of a data platform based on Databricks and Apache Spark, including ensuring performance and tuning computing environments.
Design, implementation, and optimization of scalable ETL/ELT data pipelines.
Automation and orchestration of complex enterprise data processing and flow processes.
Implementation of solutions in accordance with internal CI/CD standards, version control, and Infrastructure as Code practices.
Collaboration with architecture and security teams to ensure compliance with security regulations and data governance.
Required Skills and Experience
At least 4 years of experience in data engineering, supported by projects carried out in complex corporate environments.
Expert knowledge of the Databricks platform and Apache Spark, including practical experience with query optimization and cloud cost management.
Proficiency in designing data integration processes (ETL/ELT) from distributed and complex source systems.
Advanced knowledge of SQL and relational and non-relational databases, enabling efficient tuning of complex data operations.
Practical understanding of enterprise realities, including issues related to data security, auditability, and modern access control systems (e.g., Unity Catalog).
What do we offer?
- Benefits package (private health insurance, sports card, group insurance).
- Free English lessons with a dedicated teacher.
- Access to an extensive training library covering both soft and technical skills.
- Sports activities.
- Team-building events, contests, and challenges.
Who we are - in a nutshell:
Industry: We operate in the IT sector.
Clients: We support international companies in regulated industries (banking, finance, insurance, pharmaceuticals).
Services: We provide comprehensive quality control and implement modern HR platforms for employee management.