
201 - 500 employees
💳 Fintech
🛍️ eCommerce
💰 $58M Series C on 2023-01
Fintech • eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
🔥 14 hours ago
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
💳 Fintech
🛍️ eCommerce
💰 $58M Series C on 2023-01
Fintech • eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
• Develop the Feature Store and other future data services • Develop EL / ELT / ETL pipelines • Integrate new tools for data processing and data storage • Perform operational tasks for internal data solutions
• 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer • Experience in developing high-load and scalable data processing and storage systems • Good knowledge and background in event driving systems and streaming pipelines • Python and best practices for Python • SQL and best practices for SQL • System design best practices • Familiarity with Airflow, Debezium, BigQuery / ClickHouse, PostgreSQL / CockroachDB, Docker, GitLab (CI/CD), and GCP • REST API / gRPC API / message brokers and queues
• 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
Apply Now🕒 Yesterday
Senior Data Engineer harmonizing financial data for a global e-commerce and marketplace platform. Building scalable BigQuery pipelines, models, and auditable reporting workflows.
Airflow
Apache
BigQuery
ERP
Jenkins
SQL
🕒 August 21
Senior Data Engineer building scalable real-time and batch data infrastructure for programmatic advertising. Processing ad transactions and optimizing auction analytics for an international AdTech client.
Airflow
Amazon Redshift
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kafka
Python
Spark
SQL
🕒 August 6
Senior Data Engineer building resilient AWS streaming and ingestion pipelines for Simple Life’s AI-powered health coaching app. Maintaining Snowflake data infrastructure and production systems.
Airflow
AWS
Cloud
Distributed Systems
Python
SQL
Terraform
🕒 July 30
Senior DevOps Data Engineer at SD Solutions building and scaling platforms behind data systems. Involved in containerized workloads on Kubernetes and enhancing data pipeline reliability.
AWS
Cloud
Distributed Systems
Kubernetes
Linux
Python
Spark