Requirements: English
Company: ITDS
Region: Krakw , Lesser Poland Voivodeship
As a Data Platform Engineer, you will be working for our client, a leader in finance, developing a cloud-based data platform to enhance data processing and analytics capabilities. This greenfield project focuses on building an ELT pipeline using Azure Databricks or BigQuery on GCP, leveraging native cloud services for data ingestion, transformation, and orchestration. You will play a key role in designing and optimizing the data infrastructure, ensuring scalability, performance, and seamless integration with business processes. Design and implement scalable ELT pipelines on Azure Databricks or BigQuery Develop and maintain cloud-native data ingestion, transformation, and orchestration workflows Optimize database structures and data models for performance and scalability Ensure data quality, governance, and compliance with industry standards Experience with cloud-based data platforms (Azure Databricks or BigQuery)Strong knowledge of ELT/ETL processes and data pipeline development Proficiency in SQL and data modeling techniques Familiarity with programming languages such as Python or Scala Understanding of data governance, security, and compliance requirements Ability to troubleshoot and optimize large-scale data workflows Good English, both written and spoken