Data Engineer – Databricks & AWS

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Description

Data Engineer – Databricks & AWS Location: Remote within the EU Working Hours: US business hours / significant overlap with the US team Language: English – C1 level About the Role We are looking for a Data Engineer with 2–3 years of experience to join our team and contribute to the development of our modern data platform. In this role, you will help design, build, and maintain data pipelines within a Databricks Lakehouse environment , working with the Medallion Architecture and AWS services. You will play an important role in integrating data from multiple internal systems and supporting our transition to a scalable, centralized data platform built on Databricks and AWS S3 . The ideal candidate combines strong SQL and data engineering fundamentals with hands-on experience in Databricks and AWS, and is comfortable taking ownership of development, testing, and troubleshooting. Key Responsibilities Design, develop, and maintain reliable data pipelines within the Databricks Lakehouse and Medallion Architecture. Support the centralization and integration of data from multiple internal systems and sources. Work with AWS services, including Amazon S3, Amazon Connect, Contact Lens, and Amazon Bedrock . Translate business and technical requirements into scalable data solutions. Work with ERDs and data models , ensuring a clear understanding of data structures, grain, relationships, and join cardinality. Write efficient and maintainable SQL and data transformation logic. Perform unit t

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