Lead Data Engineer

We are looking for a Lead Data Engineer to modernize data environments for the project, focusing on cloud and lakehouse solutions using Databricks. You will lead scalable pipeline delivery, data migration, and governance while partnering with technical and business teams—apply now to help build a reliable modern data platform. Responsibilities Design scalable batch and streaming data pipelines Deliver data migration initiatives from on-premises to cloud or between platforms Develop and optimize data solutions using Databricks and Apache Spark Build ETL/ELT processes aligned with data engineering best practices Elicit requirements with technical and business teams in a consulting context Ensure data quality, governance, and security across platforms Monitor and optimize cloud performance and cost Troubleshoot and resolve production pipeline issues Document architectures, technical processes, and migration strategies Requirements 5+ years of experience as a Data Engineer Proven consulting experience working with clients and stakeholders Hands-on experience with data migration projects, from legacy systems to cloud or platform-to-platform Expertise in Databricks for development and optimization Proficiency in advanced SQL and data modeling Skills in Python or Scala for data engineering workloads Upper-Intermediate English proficiency (B2, upper-intermediate) Strong analytical and solution-oriented mindset Clear communication skills and teamwork focus Proactive attitude with strong ownership mindset Nice to have Databricks certification Experience with CI/CD for data pipelines Skills in Infrastructure as Code with Terraform or ARM Experience in Spark performance tuning Familiarity with Power BI, Kafka, or Unity Catalog