Senior Associate​/Senior DE - Databricks Specialist

Position: Senior Associate/ Senior DE - Databricks Specialist
As a Data Engineer, you will sit at the intersection of robust data engineering and high-impact business intelligence. You will be responsible for building scalable data pipelines and governed semantic models, ensuring that raw industrial and business data is transformed into trusted, actionable insights. You will leverage Databricks and/or SAS for heavy-duty engineering and SAP BDC for business-centric modeling to support our global reporting ecosystem.

Responsibilities

1) Data Engineering & Pipeline Delivery

- Design, build, and maintain batch and streaming pipelines to ingest data into a standardized Lakehouse using Databricks/SAS
- Implement best practices for data structuring, including medallion/layered architectures and Delta Lake patterns.
- Optimize performance and cost through efficient Spark patterns and compute sizing.

2) BI Modeling & Semantic Layer

- Build and maintain reusable, governed data models in SAP BDC, Databricks/SAS and Power BI (shared datasets).
- Harmonize SAP master and transactional data (FI/CO, SD, MM, PM) across different plants and entities.
- Develop well-structured reports and dashboards that support operational and executive decision-making.

3) Data Quality & Governance

- Implement data quality controls, reconciliation checks, and monitoring to ensure "single source of truth" integrity.
- Apply best practices for role-based access control (RBAC) and row-level security (RLS).
- Produce high-quality technical documentation, including data lineage and mapping rules.

4) Collaboration & Adoption

- Partner with Data Owners and SAP functional experts to translate business requirements into robust data products.
- Provide technical guidance and enablement to business users to scale responsible self-service analytics.

Qualifications

- Experience with S/4

HANA extraction patterns and CDS-based approaches.
- Familiarity with Infrastructure as Code (Terraform).
- Knowledge of French, Portuguese, or Dutch.

Education:

Bachelor’s or Master’s degree in Computer Science, IT, or Engineering.

- Experience:

3–10 years in data engineering or BI analytics, ideally within a manufacturing environment.
- Technical Core:
* Strong hands-on experience with Python, SQL, and Apache Spark (Databricks preferred) and/or SAS Base/Macro programming.
- Proficiency in SAP Datasphere (modeling and ingestion) and/or Power BI (DAX, Power Query, Dataflows).
- Architecture:
Solid understanding of Star Schema, dimensional modeling, and Lakehouse patterns.
- Dev Ops:
Familiarity with Git, CI/CD practices, and orchestration tools like Azure Data Factory or Databricks Workflows.
- Communication:
Excellent communication skills with the ability to work in cross-functional, international teams.
- Language:
Fluent in English (written and spoken).

- Nice to have:

- Experience with S/4

HANA extraction patterns and CDS-based approaches.
- Familiarity with Infrastructure as Code (Terraform).