Opis oferty:

At Nordea, we’re committed to being a partner our customers and society can count on. Compliance and integrity go hand in hand. Joining us means you’ll have an impact on how we do banking – today and tomorrow. So, bring your ideas, skills and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger. Financial Crime Prevention Technology (FCPT) adds value by providing a strong technology team with the right capabilities for the Group Financial Crime Prevention business teams. The Data and Analytics team is a part of FCPT and is responsible for providing the tools and technology required to enable the business to leverage the value of our data through advanced analytics, generative and predictive AI.

Wymagania:

• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• Experience: Senior: 5+ years of professional experience in data engineering, cloud infrastructure, or AI/ML engineering, with a strong focus on AWS. Expert: 8+ years of professional experience, including leading complex data/AI infrastructure projects and significant contributions to production systems on AWS.
• Expertise in AWS services such as AWS Step Functions, EventBridge, AWS Managed Workflows for Apache Airflow (MWAA), AWS Lambda, AWS Glue, Amazon EMR, Amazon EKS, Amazon S3, Athena.
• Proficiency in Python and Scala for data manipulation and analysis.
• Strong knowledge of CI/CD pipelines using Jenkins, Infrastructure as Code (IaC) with Terraform.
• Excellent analytical and problem-solving skills, with the ability to design and implement robust, scalable data and AI solutions.
• Strong communication skills to articulate complex technical concepts to technical and non-technical audiences.

Dodatki i korzyści:

• Opportunity to work on advanced DevOps, MLOps, and LLMOps initiatives.
• Lead the implementation of operational pipelines for software, machine learning models, and large language model applications.
• Collaborate with data scientists, product managers, and other stakeholders.
• Mentor junior engineers and contribute to technical excellence.