Data Engineer

🔥 18 hours ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tabby

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Help create Tabby’s corporate data warehouse using cloud technologies and best practices for data processing and storage • Develop and maintain the data warehouse for business users, analysts, and ML engineers • Synchronize data between internal and external systems • Develop tools for collecting data into the data warehouse • Develop EL / ELT / ETL pipelines • Integrate tools and practices for data governance and data quality • Optimize costs

🎯 Requirements

• 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 • Bonus skills: REST API / GRPC API / Message brokers & Queues • Experience on modern systems of data storing: Relational, MPP, NoSQL • Experience on Google Cloud Platform

🏖️ Benefits

• 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)