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Join to apply for the Senior Data Partner role at Tabby | تابي

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Join to apply for the Senior Data Partner role at Tabby | تابي

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Description

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.

Department: Data Platform

Employment Type: Full Time

Location: Remote

Reporting To: Maksim Zolotarev

Description

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 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 $4.3 billion.

We are hiring a Data Partner who will become a key part of our evolving data culture and help business users extract the full value from the DWH data.

Key Responsibilities:

• Development of data models for analytics, reporting, and use of data for ML and Backend services
• Development of Data Mesh, creation and maintenance of Data Products within the domain, from requirements gathering to implementation
• Ensuring data quality through the development of automated checks (Data Quality Tests)
• Optimizing the cost of data consumption, improving computational resource usage efficiency, and developing Data Products through metrics
  
  
  

• 3+ years of experience as a Data Engineer or Data Analyst
• Data modeling: SCD forms, Normal forms, Star / Snowflake Schema, Data Vault
• Good knowledge of Python
• Good knowledge of SQL
• Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, GitLab(CI/CD)
• Familiar with BI tools as Looker, Tableau, Metabase
• Best practices for data processing and data storing
• Experience on Google Cloud Platform
• Strong communication skills in English
  
  
  

• Full-time B2B contract
• Fully remote setup, work from anywhere in Europe
• 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
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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