The Role
Designs scalable silver- and gold-layer dimensional models, develops complex data transformations, certifies business metrics, and reconciles Databricks with SAP BW during migration. Establishes modeling and testing standards, supports governance and semantic-layer curation, and coaches junior and intermediate engineers. The role requires strong SQL, dimensional modeling, Databricks, Lakeflow or dbt, and SAP BW expertise.
Summary Generated by Built In
Make the Gold Layer the Source of Truth
We’re looking for a Senior Analytics Engineer to design the silver and gold layers the entire business reports on. You’ll certify every metric, set the modelling and testing standards the chapter follows, and lead the analytics side of our SAP BW to Databricks migration.
In this role you’ll:
- Design scalable dimensional models using Lakeflow Declarative Pipelines
- Build the most complex transformations yourself so business rules land correctly
- Own metric certification and Databricks–SAP BW reconciliation
- Set quality standards and coach junior and intermediate engineers
Requirements
You’ll need:
- 6+ years in analytics or data engineering with production ownership of models
- Expert SQL and dimensional modelling at scale
- Hands-on Databricks experience (or Data bricks Certified Data Engineer Professional)
- Production experience with Lakeflow Declarative Pipelines or dbt
- Strong SAP BW knowledge to lead source interpretation during the migration
Advantageous
- Unity Catalog: governance grants, masking, row filters
and lineage, and semantic-layer curation through metric views.
- Coding agents such as Claude Code or Codex, run in
parallel and verified by tests and reconciliation.
- Retail data, ideally pharmacy retail. Healthcare or
financial services also count.
- A completed migration off a legacy warehouse.
Apply now — help us keep the gold layer trustworthy.
Skills Required
- 6+ years of experience in analytics or data engineering with production ownership of models
- Expert SQL and dimensional modeling experience at scale
- Hands-on Databricks experience or Databricks Certified Data Engineer Professional certification
- Production experience with Lakeflow Declarative Pipelines or dbt
- Strong SAP BW knowledge
- Unity Catalog experience with governance grants, masking, row filters, lineage, and metric views
- Experience with coding agents such as Claude Code or Codex
- Retail data experience, ideally pharmacy retail; healthcare or financial services experience also accepted
- Completed migration off a legacy warehouse
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The Company
What We Do
Sabenza IT is a niche recruitment company specializing in Information Technology, SAP, Finance, and Engineering roles, with over 23 years of experience.
