Teams at DATAPAO

Lead customer engagements building and productionizing AI and generative AI applications on Databricks. Responsibilities include architecture, technical delivery, client advisory, team leadership, workshops, MLOps, production pipelines, stakeholder communication, and technical enablement. The role requires strong Python, cloud, MLflow, Databricks, PySpark, SQL, Delta Lake, governance, LLM, and modern AI framework expertise in a consulting environment.

Leads a team of 5–6 data engineering consultants while overseeing customer project delivery. Responsibilities include mentoring and developing team members, managing delivery, advising EMEA customers, and remaining hands-on with scalable data pipelines, ETL/ELT, distributed systems, ML/MLOps, cloud migrations, batch and streaming workloads, and modern data platforms.

As a Senior Data Engineer, you'll deliver complex projects using Apache Spark/Databricks, manage customer relationships, mentor junior engineers, and contribute to team success.