data engineer in SAP data platforms

Lumenalta partners with global enterprises to design and build large-scale data platforms that power their products and operations. This engagement supports a major US consumer goods company moving its SAP data into Databricks.

• Build ingestion pipelines for SAP source data landing in Databricks, following the client-defined ingestion architecture
• Work with SAP table structures, relationships, and business objects to land data correctly and completely
• Implement incremental and change-data-capture patterns for SAP sources, and validate that deltas are applied accurately
• Transform landed SAP data into clean, usable Delta tables using PySpark, SQL, and Databricks declarative pipelines
• Reconcile Databricks outputs against SAP to confirm completeness and accuracy
• Identify gaps, performance issues, and failure points in the ingestion architecture, and propose practical improvements
• Document reusable patterns, configurations, and runbooks for subsequent SAP data domains
• Work directly with the client's engineering and data teams in their tools and environments, adapting to changing priorities

• 5+ Years in data engineering, including production pipelines on Databricks
• Hands-on experience extracting and modeling SAP data from ECC or S/4HANA, including familiarity with core SAP tables and modules such as finance, sales, materials, or supply chain
• Experience with SAP extraction approaches such as ODP or BW extractors, SLT, SAP Datasphere, or third-party replication tools
• Experience implementing incremental and CDC ingestion patterns
• Strong PySpark and SQL skills, and working knowledge of Delta Lake
• Experience with Databricks declarative pipelines or Delta Live Tables, Auto Loader, and Databricks Workflows
• Comfortable working in a client-directed, time-and-materials model, where priorities are set by the client and can change week to week
• Clear written communication and the discipline to document reusable patterns
• Fluent English, both written and spoken
• Будет плюсом: Experience with SAP Business Data Cloud or SAP Databricks, Unity Catalog including organizing and governing SAP-derived data, prior SAP-to-cloud migration work in consumer goods, manufacturing, or distribution, Databricks Data Engineer Professional certification

• 100% Dedicated to one project at a time
• Access to Databricks Delivery Partner Program qualification and Champion nominations, with mentorship and related program benefits
• Databricks certification exam fees are covered
• A screening call, a technical interview, and a HackerRank assessment. The technical interview is a conversation rather than a whiteboard exam and covers a candidate-built SAP-to-cloud pipeline, SAP data extraction and modeling, handling deltas and reconciliation, and possible improvements. Relevant project experience matters more than certifications
• Applications accepted until October 4th, 2026. Candidates can expect feedback by October 12th, 2026