Data Bricks and SAP Data Anayltics

Engagement Type: contract 

Description:

We are looking for a highly skilled Senior Databricks Data Engineer / developer to support our multinational client (22.000 + employees, global sales of 6.1 billion USD) in their strategic transition from SAP BW/HANA / BW4HANA to a modern Databricks Lakehouse + Power BI analytics platform.

This is a key technical role that requires deep expertise in Databricks engineering and architecture, hands-on development, data modelling, and strong collaboration skills with business and IT stakeholders.

Key Responsibilities

· Participate in the implementation and enhancement of Databricks Lakehouse architectures, including ingestion, transformation, modelling, orchestration, and optimization.

· Develop scalable data pipelines using Python, SQL, Databricks Notebooks, Delta Lake, and related Azure/AWS services (depending on environment).

· Drive best practices for data quality, CI/CD, version control, lineage, and documentation.

· Contribute to the migration from SAP BW to Databricks: conceptual mapping, data modelling, performance considerations, testing, and validation.

· Support Power BI teams with clean, consumption-ready datasets and semantic models.

· Collaborate closely with the data and Analytics Team / business users to understand requirements, manage expectations, and participate in the architectural recommendations.

· Mentor junior team members and contribute to internal knowledge development.

Required Skills & Experience (Must-Have)

· Expert-level Databricks experience (min. 4–6 years, min. 2-3 full projects):

o Databricks Notebooks

o Python (PySpark)

o SQL (advanced)

o Delta Lake

o Databricks Workflows / Jobs

o Lakehouse architecture principles