Data Engineer (Databricks)

Role overview A data engineering role focused on building and maintaining the data infrastructure that powers analytics and AI-driven products. The position centers on designing scalable pipelines, integrating diverse data sources, and ensuring data quality, accessibility, and governance across both batch and streaming workloads within a cloud-based environment.

Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines and data architectures that keep data accessible, clean, and reliable. - Develop data integration workflows that translate operational business needs into working solutions. - Write robust scripts and advanced SQL queries to extract, transform, and load data from multiple sources. - Contribute to data warehouse and data lake designs, applying data modeling techniques that support downstream analytics and consumption. - Support both stream and batch processing workflows, working with relational and non-relational databases and optimizing their performance. - Apply version control and CI/CD practices to deliver reliable data solutions, while upholding data governance, security, and quality standards.

Requirements - At least four years of professional experience as a Data Engineer. - Proven track record designing, building, and maintaining scalable pipelines and ETL/ELT processes. - Hands-on experience with data integration workflows and orchestration tools across multiple data sources. - Strong background in relational and non-relational database design and optimization. - Advanced SQL skills plus experience with Azure and Databricks in cloud-based data environments. - Familiarity with batch and stream processing patterns, CI/CD principles, and data quality, governance, and security best practices.

Nice to have - Practical use of AI tooling to streamline data engineering work, including drafting, analysis, research, or process automation, and the ability to recommend where AI can add the most value.

Benefits and work setup - High-impact environment with a commitment to ongoing professional development. - Flexible, collaborative culture with global opportunities and an emphasis on community. - Total rewards package, with specific benefits determined by employment type and location.