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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.

Lead a 5-6 person data engineering team, split between people management and hands-on delivery. Oversee design and implementation of scalable ETL/ELT pipelines, batch and streaming workloads, cloud migrations, and data platform components using modern storage formats and observability practices while mentoring and growing consultants.

As a Senior Data Engineer, you will deliver complex projects, manage customer relationships, and mentor junior engineers while using Databricks and various cloud platforms.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.