Summary from listing
The Lead Data Engineer will define and evolve the enterprise data platform, lead the Databricks modernization journey toward Spark Declarative Pipelines, and establish reusable frameworks and engineering standards. The role involves hands-on development, code review, performance and cost optimization, technical consulting, delivery-process support, and innovation through automation and DevOps. Candidates need a relevant degree, several years of data engineering experience, technical leadership or senior engineering experience, and strong Databricks, Spark, Python, and SQL expertise. The position offers a hybrid 70/30 model with up to 30 days of remote work from selected countries and medical, insurance, training, and other benefits.
