Data Engineer – Databricks & AWS

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 testing and data validation to ensure the quality and reliability of your development before deployment.
• Troubleshoot data pipeline issues and investigate data quality or integration problems.
• Collaborate with other engineers and stakeholders to continuously improve our data platform and engineering practices.
Requirements
• 2–3 years of professional experience in Data Engineering.
• Hands-on experience with Databricks and AWS.
• Strong SQL skills and a solid understanding of relational databases.
• Good understanding of data modeling, ERDs, data grain, relationships, and join cardinality.
• Experience building, testing, and troubleshooting data pipelines.
• Ability to independently validate your work and perform unit testing before deployment.
• Strong analytical and problem-solving skills.
• Ability to work independently in a remote, distributed team.
• English at C1 level or equivalent, with the ability to communicate effectively with a US-based team.
Nice to Have
• Experience with Amazon Connect and/or Contact Lens.
• Experience with Amazon Bedrock or other AWS AI/ML services.
• Familiarity with Lakehouse and Medallion Architecture.
• Experience with data integration from multiple enterprise systems.
• Familiarity with CI/CD and modern data engineering practices.