The Role
Develop and maintain the company data warehouse using cloud technologies and best practices. Build data synchronization tools, EL/ELT/ETL pipelines, and solutions supporting business users, analysts, and ML engineers. Implement data governance and quality practices, optimize storage and processing costs, and work with modern data architectures, modeling approaches, and technologies including Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, GitLab CI/CD, and GCP.
Summary Generated by Built In
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 17 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.
We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.
We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.
Key Responsibilities:
- DWH development for Business Users, Analysts and ML Engineers;
- Data synchronization between internal and external systems;
- Development tools for collecting data into DWH;
- Development EL / ELT / ETL pipelines;
- Integration new tools and practices for data governance and data quality;
- Costs optimization.
Skills, Knowledge & Expertise:
- 3+ years of experience as a Data Engineer;
- DWH development and maintenance experience;
- Architecture: Kimball, Inmon, Medallion, Data Mesh;
- Data modeling: SCD forms, Normal forms, Star Schema, Data Vault;
- Python + best practice for Python;
- SQL + best practice for SQL;
- System design best practices;
- Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab(CI/CD), GCP;
- Best practice for data processing and data storing.
- REST API / GRPC API / Message brokers & Queues;
- Experience on modern systems of data storing: Relational, MPP, NoSQL;
- Experience on Google Cloud Platform.
What we offer:
- Full-time B2B contract
- Fully remote setup
- Up to 20% tax allowance
- 22 paid leave days annually
- Stock options (ESOP) in a fast-scaling, pre-IPO company
- Flexi benefits you can use for wellness, travel, or learning
- Work alongside a high-performing, international engineering team in a global fintech unicorn
Relocation support is available to our hubs in Armenia, Georgia, Serbia, Poland and Spain, including flights, temporary accommodation, legal setup (if needed)
About
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.
Skills Required
- 3+ years of experience as a Data Engineer
- Experience developing and maintaining data warehouses
- Knowledge of Kimball, Inmon, Medallion, or Data Mesh architectures
- Knowledge of SCD forms, normalized forms, star schema, or Data Vault modeling
- Python and Python best practices
- SQL and SQL best practices
- System design best practices
- Familiarity with Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, GitLab CI/CD, and GCP
- Best practices for data processing and storage
- REST API, gRPC API, or message broker and queue experience
- Experience with relational, MPP, or NoSQL data storage systems
- Experience with Google Cloud Platform
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The Company
What We Do
Tabby is a financial technology company on a mission to create financial freedom by reshaping people's relationship with money through buy now, pay later services, allowing consumers to split purchases into interest-free payments.
