Senior Data Engineer
WINGED IT SP Z O OWarszawa, Masovian, Poland11 days ago
Job descriptionDo 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. We're 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! Our client : Klarna Location : Warsaw (hybrid work : 2-3 days in the office) Start date : ASAP Duration : long-term agreement 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. 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). Great opportunity for personal development in a stable and friendly large multinational company Start-up mentality, small agile teams Global Reach : Impact millions with seamless shopping and payments Career growth and additional education
technologies-expected :
- SQL
- PySpark
- Python
- Apache Airflow
- AWS Glue
- Kafka
- Redshift
- AWS S3
- AWS Lambda
- AWS CloudWatch
- AWS SNS
- AWS SQS
- AWS Kinesis
- Terraform
- Git
- CI / CD
about-project :
responsibilities :
requirements-expected :
offered :
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Senior Data Engineer • Warszawa, Masovian, Poland
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