ai engineer

Nordea is a banking group that provides financial services and develops technology for banking, including financial crime prevention, advanced analytics, generative AI, and predictive AI.

• Design, implement, and manage scalable and secure AWS infrastructure for AI/ML workloads using AWS Step Functions, EventBridge, AWS Managed Workflows for Apache Airflow, and AWS Lambda;
• Develop, optimize, and maintain big data ETL and analytics pipelines using PySpark with Python and/or Spark with Scala on AWS Glue, Amazon EMR, and Amazon EKS;
• Implement data storage solutions primarily on Amazon S3;
• Use AWS Athena for ad-hoc querying and analysis of large datasets stored in S3;
• Leverage the Hadoop ecosystem, including Hive, Impala, Sqoop, HDFS, and Oozie, to manage and process large-scale datasets;
• Apply Python programming and Pandas DataFrame transformations for data manipulation and analysis;
• Implement and maintain CI/CD pipelines using Jenkins;
• Manage infrastructure as code with Terraform for automated deployment of AI/ML solutions;
• Monitor, evaluate, and optimize the performance, cost-efficiency, and reliability of AI/ML infrastructure and data pipelines;
• Work with data scientists, product managers, and business stakeholders to translate requirements into scalable technical solutions;
• Write clean, documented, and testable code following software development, MLOps, and cloud engineering best practices;
• Mentor junior engineers and contribute to the team’s technical excellence.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field;
• 5+ Years of professional experience in data engineering, cloud infrastructure, or AI/ML engineering with a strong focus on AWS;
• 8+ Years of professional experience for the Expert level, including leading complex data and AI infrastructure projects and significant contributions to production systems on AWS;
• Hands-on experience with AWS Step Functions, EventBridge, AWS Managed Workflows for Apache Airflow, and AWS Lambda;
• Proven experience with AWS Glue, Amazon EMR, and Amazon EKS;
• Expert knowledge of Amazon S3;
• Experience with AWS Athena;
• Extensive experience developing big data ETL and analytics solutions with PySpark and Python and/or Spark with Scala;
• Experience with the Hadoop ecosystem, including Hive, Impala, Sqoop, HDFS, and Oozie;
• Expert Python proficiency, including extensive experience with Pandas DataFrame transformations;
• Strong knowledge of CI/CD pipelines using Jenkins;
• Experience with Infrastructure as Code using Terraform;
• Excellent analytical and problem-solving skills;
• Strong communication skills with the ability to explain complex technical concepts to technical and non-technical audiences;
• Nice to have: Scala proficiency for Spark development, MLflow, AWS SageMaker, AWS Bedrock, other AWS AI/ML services, real-time data processing, Apache Kafka, AWS certifications.

• Applications are accepted until 31/08/2026;
• The application must include the required permit for processing personal data under GDPR;
• Only selected applicants may receive a reply.