Senior Credit Data Engineer @ Winged IT
(práce v Polsku)

Senior Credit Data Engineer @ Winged IT

Polsko

Your skills and experiences:

• 6+ years of experience with SQL, PySpark, Python;
• Framework knowledge: Apache Airflow, AWS Glue, Kafka, Redshift;
• Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD;
• Proven ownership of mission-critical data products (batch + streaming);
• Data modeling, schema evolution, data contracts, and strong observability chops;
• Familiarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search);
• Strong educational background in Computer Science, Information Technology, or a related field;
• Language proficiency: Advanced English (minimum B2 level).

Senior Credit Data Engineer

Our client: Klarna

Location: Warsaw (hybrid work: 2-3 days in the office)

Rate: 170 - 195 PLN per hour

Cooperation model: B2B or Employment Contract

Start date: ASAP

Duration: long-term agreement

Do you want to play a key role in revolutionizing the future of finance? Join Klarna - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily! As a pioneer in modern payment solutions, Klarna is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options. 

Were seeking individuals eager to achieve remarkable results and share their bold vision to redefine the future of payments and fintech. Send us your CV - we can’t wait to meet you!

 

,[To own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage;, To design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts;, To build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization;, To ensure quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews;, To partner closely with Credit Portfolio Management, Policy teams, Modeling teams, and treasury and finance teams to land features for RUE and consumer-centric models, plus regulatory and management reporting.] Requirements: Abstract, Security, Audits, SQL, PySpark, Python, Apache Airflow, AWS, Glue, Kafka, Redshift, Cloud, AWS S3, AWS Lambda, CloudWatch, SNS, Amazon SQS, Kinesis, Terraform, Git, CD, AI, Agile

Kategorie

data

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