Senior Data Engineer (Snowflake)

O projekcie: 💻Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains. With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management. By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society. 🔹 For our Client from banking industry we are looking for Senior Data Engineer (Snowflake)🔹 ROLE: Senior Data Engineer in Corporate Credit unit Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its surrounding environment to enable the Customer Vision and the Business Strategy. We are looking for a Senior Data Engineer who is passionate about taking full ownership of designing and building data solutions end-to-end, from understanding requirements to delivering production-ready systems that last. Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry. About our team Meet the Limit Management technology team. We build and maintain digital solutions that support how corporate credit decisions are made across the bank. Our systems help credit professionals efficiently assess financial data, manage credit limits, and evaluate risk. We focus on creating reliable and intuitive tools that simplify complex workflows and support high-quality decision making. We are responsible for delivering and maintaining core credit solutions within Limit Management to: - Ensure real-time limit checks and regulatory-compliant limit exposure monitoring- Orchestrate integrations from exposure data sources and to credit decision systems- Support limit data services for risk monitoring and reporting. Main responsibilities in this role: - Support the foundational phase of our new data engineering team, turning business problems into data solutions Take ownership of designing and building data models and data pipelines - Drive modernization from requirements to production, transitioning from fragmented local systems to unified solution - Build trusted partnerships with Business and stakeholders through effective communication, discussing technical concepts and ensuring alignment throughout development process - Drive quality and technical leadership by setting high delivery standards, emphasizing long-term reliability and maintainability, and championing modern engineering practices (TDD, design patterns, clean architecture - Pioneer AI adoption by implementing AI-assisted development practices (e.g. GitHub Copilot, internal agents) to improve engineering productivity Your background and skills include: - Strong experience in data engineering and data warehousing, building large-scale data solutions. You know what good looks like in modern data warehousing- Ability to design data warehouse solutions, with a focus on simplicity and maintainability- Hands-on experience with Snowflake, dbt, Airflow- Comfortable taking full ownership from requirements to production- Eager to understand the business domain so that you can turn their problems into robust and maintainable data solutions- Solid experience with CI/CD, pipeline orchestration, and modern data engineering practices Wymagania: - Strong experience in data engineering and data warehousing, building large-scale data solutions. You know what good looks like in modern data warehousing- Ability to design data warehouse solutions, with a focus on simplicity and maintainability- Hands-on experience with Snowflake, dbt, Airflow- Comfortable taking full ownership from requirements to production- Eager to understand the business domain so that you can turn their problems into robust and maintainable data solutions- Solid experience with CI/CD, pipeline orchestration, and modern data engineering practices- Natural investigator - you don’t wait for detailed specifications, but proactively understand the business domain and ask the right questions to clarify the requirements- Holistic solution owner - you take ownership of the full lifecycle from design to implementation & testing, and stand by the solutions you deliver- Data Modeler - you understand what good looks like in data warehousing and build accordingly- Strategic thinker - you care about high quality, consolidation and standardization, prioritizing long-term maintainability over short-term fixes- Innovation driver - you use AI as a tool to improve productivity, quality, and speed Codzienne zadania: - Ensure real-time limit checks and regulatory-compliant limit exposure monitoring - Orchestrate integrations from exposure data sources and to credit decision systems - Support limit data services for risk monitoring and reporting. - Support the foundational phase of our new data engineering team, turning business problems into data solutions - Take ownership of designing and building data models and data pipelines - Drive modernization from requirements to production, transitioning from fragmented local systems to unified solution - Build trusted partnerships with Business and stakeholders through effective communication, discussing technical concepts and ensuring alignment throughout development process - Drive quality and technical leadership by setting high delivery standards, emphasizing long-term reliability and maintainability, and championing modern engineering practices (TDD, design patterns, clean architecture) - Pioneer AI adoption by implementing AI-assisted development practices (e.g. GitHub Copilot, internal agents) to improve engineering productivity