Data Analytics Engineer (f/m/x)

We are looking for an Analytics Engineer to join Sii and a strategic project delivered for a Copenhagen-based fintech company. In this role, you will build and scale business-critical data models that drive decision-making across key domains such as credit, payments, and fraud/AML.
You will operate in an environment with high engineering standards (CI/CD, code reviews, data governance) and work on high-impact data products where reliability, ownership, and operational discipline are essential. This role involves collaboration across multiple domains and stakeholders, offering the opportunity to broaden your expertise while working on complex, real-world data challenges.

Your tasks
• Build and maintain core data models in dbt that power critical reporting and decision-making in credit, payments, and fraud/AML
• Partner closely with business stakeholders, Data Engineers, and Data Analysts to define requirements, clarify ownership, and align on success criteria
• Work collaboratively with both technical and non-technical stakeholders, translating complex or ambiguous business logic into scalable data solutions
• Contribute to the semantic layer (LookML) to ensure consistent, scalable reporting and enable self-service analytics across multiple domains
• Take ownership of data quality, implementing testing, monitoring, and documentation; proactively detect and resolve issues in business-critical data pipelines
• Support reliable data workflows, including working with orchestration tools such as Airflow/Astronomer where needed
• Contribute to and uphold strong analytics engineering practices, including code reviews, reusable patterns, and reducing technical debt
• Balance work across multiple data domains and shared definitions, which requires adaptability and effective context switching

Requirements
• Min. 5 years of hands-on experience with dbt and modern cloud data warehouses (BigQuery)
• Proficiency in SQL skills and experience building well-structured, reusable models in a layered architecture
• Ability to translate unclear or messy business requirements into clean, performant, and maintainable data transformations
• Familiarity with Git-based workflows, version control, and CI/CD practices in analytics engineering environments
• Strong sense of ownership and accountability, especially when working with business-critical data products
• Comfort working in environments with high engineering and governance standards
• Strong collaboration and communication skills, with the ability to engage proactively with stakeholders beyond data teams
• Interest in developing expertise across domains such as payments, credit, and fraud/AML, rather than focusing narrowly on a single area
• Ability to communicate effectively in English in an international environment
• Fluent Polish required
• Residing in Poland required