Job Description

We are looking for a Lead/Senior SAP BW Engineer with 12+ years of SAP engineering experience and deep expertise in SAP ECC, SAP BW, and SAP Data Services (BODS). The ideal candidate has led complex end-to-end data migration projects to AWS S3/Databricks, is highly skilled in designing SAP extractors and migration workflows, and can provide technical leadership while mentoring engineers and collaborating with cross-functional teams.

Location - Bulgaria, Poland, Romania, Ukraine, Spain

Work type - Remote/Office (your choice)

Direction - Engineering & Technology

Subdirection - Platforms & Integration

Tech level - Middle

Key requirements:

• 
  12+ years of SAP engineering experience, including SAP ECC and SAP BW data migration
• 
  Strong expertise in SAP ECC/BW data models and standard & custom SAP extractors
• 
  Hands-on experience with SAP Data Services (BODS), including workflow design, delta processing, and error handling
• 
  Experience migrating data to AWS S3 and Databricks
• 
  Ability to validate data quality and reconcile full and delta loads
• 
  Leadership experience with mentoring engineers and guiding technical decisions
• 
  Strong communication skills and experience working in Agile teams

Main responsibilities:

• 
  Lead end-to-end migration of SAP ECC and SAP BW data to AWS S3 and Databricks
• 
  Design, develop, and optimize SAP extractors and BODS workflows
• 
  Configure and troubleshoot integrations with external platforms
• 
  Ensure migration quality through reconciliation and data validation
• 
  Collaborate with Databricks Engineers and stakeholders
• 
  Mentor team members and drive technical best practices

Team DescriptionWe're looking for a Senior SAP BW Engineer to lead hands-on data migration work from SAP ECC and SAP BW into AWS S3 / Databricks. You'll set the technical direction for extraction and data services work, work closely with Databricks Engineers, and help guide less experienced engineers on the team.

Recruitment Process:

• CV Screening: Applications are reviewed within 12-24 hours.
• Pre-Screening: A short Q&A session (AI or with a recruiter) to assess your experience.
• Shortlisting: Selected candidates are presented to the hiring manager.
• Interview1: Tech discussion with the project team
• Interview2: Tech discussion with the end customer
• Offer & Onboarding: Successful candidates receive an offer and start the onboarding process.

Note: You can choose to complete the pre-screening via an automated session (recommended for faster feedback) or with a recruiter.

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