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TL;DR
Senior Data Engineer (SAP BW): Migrating an existing SAP BW analytical landscape to a modern Snowflake-based cloud data platform with an accent on reverse-engineering BW artifacts, rebuilding DWH layers, and preserving legacy business logic in dbt and SQL-based ELT. Focus on validating semantic equivalence, developing orchestration workflows, and translating ABAP-based transformations into maintainable modern pipelines.
Location: Hybrid role in Tashkent, Uzbekistan; flexibility to work from both home and the office.
Company
Accesa supports software and data engineering projects while investing in employee wellbeing, learning, and long-term professional development.
What you will do
- Analyze and reverse-engineer SAP BW objects, including InfoCubes, DSOs, InfoObjects, transformations, and ABAP routines.
- Migrate legacy DWH analytical layers to Snowflake by rebuilding fact and dimension tables, transformation pipelines, and embedded business logic.
- Implement and maintain dbt models using SQL-based ELT, Jinja templating, and macros.
- Build and operate orchestration workflows with Azure Data Factory, Apache Airflow, or equivalent tools.
- Validate migrated objects against the legacy system to confirm data and logic equivalence before cutover.
- Collaborate with the Product Owner and internal engineers in a mixed Scrum team working in three-week sprints.
Requirements
- 3–6 years of professional experience, with strong hands-on experience building or migrating analytical DWH layers.
- Strong SAP BW knowledge, including the ability to interpret InfoCubes, DSOs, InfoObjects, and BW transformations.
- Advanced SQL and practical experience with SQL-based ELT; dbt experience is strongly preferred.
- Experience with Snowflake, dimensional modeling, slowly changing dimensions, partitioning, and ELT orchestration.
- Python for pipeline scripting and automation, plus read-level ABAP knowledge for interpreting BW transformation routines.
- Ability to work autonomously in an established Scrum delivery model and use AI tools responsibly, including effective prompting and critical validation of generated outputs.
Nice to have
- Experience with dbt Jinja templating and macro development.
- Exposure to AI-assisted code generation tools such as Snowflake Cortex.
Culture & Benefits
- Hybrid work with the option to work from home and the office.
- Medical insurance and access to a remote fitness trainer and Sports and Health Coach.
- At least 21 vacation days, increasing by one day for each completed year of collaboration up to 29 days.
- Long-term learning programs covering technical and non-technical skills.
- Career coaching and access to learning resources and platforms.
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