Data Engineer

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.

How do we work? See what our employees say Piotr i Julia