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Tabby

Senior Data Engineer

Tabby Belgrade, Central Serbia, Serbia

Financial Services · 1,001-5,000 employees

20 h ago
Remote data-engineer Mid (2-5 yrs) Full-time Serbia
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About the role

You will be responsible for developing internal data services, including a feature store, and managing EL/ELT/ETL pipelines. Additionally, you will integrate new tools for data processing and storage while performing operational tasks.

What they look for

Python SQL Go Airflow Debezium BigQuery Clickhouse PostgreSQL CockroachDB Docker GitLab CI/CD GCP REST API GRPC API Message brokers System design

Requirements

Candidates must have 3-5 years of experience as a Data, ML, or Backend Engineer with strong proficiency in Python and SQL. Experience with high-load systems, event-driven architectures, and Google Cloud Platform is required.

Benefits

Tax allowance Paid leave Stock options Flexi benefits Wellness Travel Learning

Full description

Senior Data Engineer

Department: Data Platform & ML

Employment Type: Full Time

Location: Remote/Serbia

Description

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 for the Data Services Team who will help us create our internal solutions such as a Feature Store and will be ready to perform operational tasks.

Key Responsibilities:

  • Development Features store and other future data services;
  • Development EL / ELT / ETL pipelines;
  • Integration new tools for data processing and data storing;

Skills, Knowledge & Expertise:

  • 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 + best practice for Python;
  • SQL + best practice for SQL;
  • System design best practices;
  • Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP;
  • REST API / GRPC API / Message brokers & Queues.
  • GO development experience;
  • 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

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