Senior Data Engineer

2 weeks ago

Warsaw, Czech Republic Spyrosoft Full time

Requirements: Proven experience in owning and operating mission-critical data products in both batch and streaming environments.  Strong expertise in data modeling, schema management, data contracts, and observability practices.  Solid understanding of building systems optimised for AI/agent use cases (e.g., agent-friendly schemas, embeddings, vector search).  Hands-on experience with modern data infrastructure and AWS-based ecosystems.  Excellent communication skills and fluency in English.  Join our team in Warsaw, where we’re collaborating on a cutting-edge fintech venture with a global industry leader. Together with our Partner – Klarna, we’re building an IT hub designed to drive innovation in digital payment solutions. We’re on the lookout for top-tier engineers who thrive in dynamic, forward-thinking environments. Spyrosoft is leading the recruitment process, facilitating a seamless experience for candidates who are ready to shape the future of online shopping and payments. This opportunity is ideal for engineers who value independence, proactiveness, and flexibility. Our engagement begins with a B2B contract through Spyrosoft, transitioning to a direct contract with our Partner. We offer a hybrid work model in Warsaw’s vibrant Wola district. English fluency and eligibility to work in Poland are essential, as is the successful completion of a background check to meet the rigorous standards of the financial domain. Our process: CV selection  Initial recruitment screening  Online logic test  Cultural fit interview  Project description: Join Klarna’s global underwriting data team and take ownership of the data products that power decisioning, monitoring, and optimisation across the company. You will design and operate self-describing data products built for both AI agents and humans that serve as the single source of truth for underwriting globally. This is a hands-on engineering role with significant ownership and cross-functional collaboration, directly impacting Klarna’s risk, credit, and financial models. Tech stack: Languages: SQL, PySpark, Python  Frameworks: Apache Airflow, AWS Glue, Kafka, Redshift  Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform, Git, CI/CD  Collaborate closely with Credit Portfolio Management, Policy, Modelling, Treasury, and Finance teams to deliver data features supporting regulatory reporting, model development, and business optimisation. ,[Own and maintain Klarna’s global underwriting (UW) data tables, covering canonical facts and dimensions such as applications, decisions, features, repayments, and delinquency. , Ensure data quality and reliability through well-defined SLAs focused on freshness, completeness, accuracy, and lineage. , Design and maintain systems optimised for both AI agents and human users, including consistent IDs, canonical event structures, explicit metric definitions, and rich metadata (schemas, data dictionaries, machine-readable contracts). , Build and operate scalable data pipelines (batch and streaming) that feed underwriting scoring systems, real-time decisioning, monitoring, and optimisation processes. , Implement observability and quality monitoring - alerts, audits, reconciliations, and automated backfills and drive post-incident reviews. ] Requirements: AI, SQL, PySpark, Python, Apache Airflow, AWS, Glue, Kafka, Redshift, Cloud, AWS S3, AWS Lambda, CloudWatch, SNS, Amazon SQS, Kinesis, Terraform, Git, Data modeling, Use cases, Communication skills, Data pipelines, Audits Tools: .

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