Expert Data Engineer - ML

Nordea; Oulu; On-site; EUR 90,000 - 120,000; Full time

Job summary

Nordea invites an Expert Data Engineer to join the Service Domain Data & Analytics team on a full‑time permanent basis. You will build distributed, near real-time data pipelines, design ML workflows on AWS SageMaker, and mentor engineers while driving cloud migration.

You will collaborate with cross‑functional teams to deliver Customer 360 data products and AI‑powered analytics, ensuring scalable, robust data platforms and secure data handling across the bank.

Qualifications

• MLOps/SageMaker: 5+ years building, deploying, and scaling end-to-end ML pipelines on AWS SageMaker
• Python: 7+ years enterprise-level development with deep expertise in Pandas, NumPy, Scikit‑Learn, PyTorch, TensorFlow
• Strong experience integrating ML pipelines with cloud‑native data platforms like Snowflake and Apache Iceberg
• Proven experience building robust, scalable data pipelines and AWS cloud infrastructure
• Professional English communication skills to engage effectively with technical and business stakeholders

Responsibilities

• Build and maintain distributed, high-performance data pipelines handling large volumes of structured and unstructured data in near real time
• Design and implement end-to-end ML pipelines on AWS SageMaker, covering model evaluation, deployment, and monitoring
• Drive cloud migration initiatives from on‑premise systems to AWS while ensuring seamless integration
• Lead communities of practice and mentor junior engineers in software engineering fundamentals and ML best practices
• Collaborate with cross‑functional teams to deliver Customer 360 data products and AI‑powered analytics solutions

Skills

MLOps/SageMaker

Python

Cloud data platforms

Data pipelines

English communication

Tools

Snowflake

Apache Iceberg

AWS

Job description

Job ID: 4108

Welcome to Group Technology, where we pride ourselves on engineering solutions and leading Nordea's transformation by providing a holistic technological view and structured understanding of the bank, enabling the Customer Vision and the Business Strategy. We are looking for an Expert Data Engineer to join our Service Domain Data & Analytics team on a full‑time permanent employment agreement.

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 personal data and wealth.

About Our Team

Meet the Data & Analytics team. Our role is to harness the power of big data to drive smarter business decisions that directly impact how our organization processes, analyzes, and leverages massive datasets for strategic advantage.

What You'll Be Doing

Main responsibilities in this role:

• Build and maintain distributed, high-performance data pipelines handling large volumes of structured and unstructured data in near real time
• Design and implement end-to-end ML pipelines on AWS SageMaker, covering model evaluation, deployment, and monitoring
• Drive cloud migration initiatives from on‑premise systems to AWS while ensuring seamless integration
• Lead communities of practice and mentor junior engineers in software engineering fundamentals and ML best practices
• Collaborate with cross‑functional teams to deliver Customer 360 data products and AI‑powered analytics solutions

Who You Are

This is the right role for you if you continuously work to improve through both engineering and business knowledge, take ownership of business solutions within your area, and have strong collaborative skills to engage and steer teams in the right direction.

Your background and skills include

• MLOps/SageMaker: 5+ years building, deploying, and scaling end-to-end ML pipelines on AWS SageMaker
• Python: 7+ years enterprise-level development with deep expertise in Pandas, NumPy, Scikit‑Learn, PyTorch, TensorFlow
• Strong experience integrating ML pipelines with cloud‑native data platforms like Snowflake and Apache Iceberg
• Proven experience building robust, scalable data pipelines and AWS cloud infrastructure
• Professional English communication skills to engage effectively with technical and business stakeholders

It would be ideal if you also

• Hold AWS certification or equivalent cloud platform credentials
• Have hands‑on experience with observability tools for drift detection and latency tracking
• Bring experience with Apache Iceberg and advanced data lake architectures

What We Offer

Collaboration, ownership, passion, and courage guide how we work and make decisions. We foster performance and growth in one of the largest Nordic banks, offering opportunities to evolve, develop, and learn from colleagues with diverse backgrounds in a vibrant working environment. Hybrid working model encourages flexibility.

We are committed to diversity and inclusion, striving to improve our workplace culture.

Contact: [e-mail] for more information. Submit your application no later than 31/07/2026.