This role involves designing, building, and maintaining scalable data pipelines using Azure Data Factory and Snowflake. The Data Engineer will work on ETL/ELT processes, data modelling, and cloud data platform development, ensuring data quality and performance. Collaboration with business stakeholders and technical teams is key.
This role involves defining and evolving the architecture of a modern cloud-based data platform, providing technical leadership, and designing scalable, secure, and reliable data solutions. You will champion DataOps practices, support the implementation of ETL/ELT processes, and guide the use of modern tooling and emerging technologies.
Design and build scalable data pipelines using Databricks, PySpark, and Delta Lake while shaping enterprise data architecture and enabling self-service data access across departments. Partner with cross-functional stakeholders to solve business challenges and mentor junior engineers in a growing data team. Work in a high-impact role with ownership over platform strategy and data governance.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You'll partner with various stakeholders to turn business challenges into technical solutions, shape the data architecture, and mentor a junior engineer.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You will partner with stakeholders across various departments to turn business challenges into technical solutions, shape the data architecture, and mentor a junior engineer.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You will shape the enterprise data architecture, optimize ETL/ELT processes, and mentor a junior engineer. The position offers a high-impact, visible role in a growing data function with opportunities to influence data strategy.
Design and build scalable data pipelines and data products using Databricks, PySpark, and Delta Lake, while shaping enterprise data architecture and enabling self-service data access across departments. Collaborate with cross-functional stakeholders and mentor a junior engineer in a growing data team. Work in a high-impact role with ownership over platform strategy and data lifecycle governance.
