SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Tabby is a fintech platform that enables flexible payment solutions for shoppers and merchants across the GCC region and globally. With 17+ million users and $10 billion in annual transaction volume, Tabby is one of the fastest-growing fintech companies in the region, valued at $4.5 billion.
We are seeking a Data Engineer to join our Data Warehouse (DWH) team. You will be responsible for designing, building, and maintaining our corporate data warehouse using cloud technologies and industry best practices. Your work will directly support business users, data analysts, and machine learning engineers across the organization.
Key responsibilities include:
- Developing and maintaining data warehouse infrastructure for multiple stakeholder groups
- Building and optimizing EL/ELT/ETL pipelines for data ingestion and transformation
- Designing data synchronization solutions between internal and external systems
- Creating development tools and frameworks for efficient data collection into the DWH
- Implementing data governance and data quality practices
- Optimizing costs across data infrastructure and processing
Required qualifications:
- 3+ years of professional experience as a Data Engineer
- Proven DWH development and maintenance experience
- Strong knowledge of data warehouse architectures (Kimball, Inmon, Medallion, Data Mesh)
- Expertise in data modeling techniques (SCD, normalization, Star Schema, Data Vault)
- Advanced proficiency in Python and SQL with understanding of best practices
- System design and architecture knowledge
- Hands-on experience with modern data stack tools: Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab CI/CD, GCP
Bonus skills:
- REST API, gRPC, or message broker/queue experience
- Experience with modern data storage systems (relational, MPP, NoSQL)
- Google Cloud Platform expertise
