IT Developer

Nordea Bank Abp; Helsinki; On-site; EUR 95,000 - 120,000; Full time

Job summary

Nordea Bank Abp in Helsinki seeks a Senior IT Developer for Data Engineering & Warehousing to redefine how data warehousing is built and operated. This hands-on role focuses on automation, AI-enabled development, and scalable platform capabilities.

You will define end-to-end data products, build Python/SQL foundations, and drive CI/CD, containerization, and data quality in a modern, hybrid engineering environment.

Qualifications

• 4+ years of experience in data engineering or software development.
• Strong Python and SQL skills; daily coding.
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks).
• Willingness to adopt AI-assisted development and automation.

Responsibilities

• Define and build reusable data warehousing capabilities with end-to-end automation.
• Develop Python/SQL foundations and reliable data pipelines.
• Design data products and accelerate data delivery to business users.
• Drive CI/CD, Docker/Kubernetes deployments, and observability.
• Collaborate across teams and mentor others.

Skills

Python

SQL

Data engineering

Cloud data platforms

CI/CD

Data warehousing

AI-enabled development

Builder mentality

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Airflow

Prefect

Infrastructure as code

Terraform

Job description

Senior IT Developer for Data Engineering & Warehousing — a hands-on engineering role for someone who wants to redefine how data warehousing is built and operated. This is not a role about maintaining pipeline sprawl. We want to move away from repetitive, manually engineered warehouse delivery toward reusable automation, stronger platform capabilities, and faster paths from trusted data to business value. We are looking for someone who learns fast, drives change proactively, and wants to build better ways of working with AI as part of everyday engineering.

About our team

Welcome to the Trading Data Warehouse & BI team. We work close to stakeholders supporting one of the largest trading environments in the Nordics, where trusted data, speed, and reliability matter. Our challenge is to deliver data faster and with less manual effort, while improving quality and building a more scalable engineering model for the future.

What you'll be doing

Data Engineering & Development

• Help define and build a new way of doing data warehousing — shifting from project-style delivery toward reusable capabilities, stronger platforms, and end-to-end automation
• Build the Python, SQL, and platform foundations that turn manual warehouse work into scalable engineering solutions
• Design data products and models that bring trusted data closer to business users and shorten the path from engineering work to business value
• Drive end-to-end warehousing automation — from ingestion and transformation to controls, publishing, and consumption
• Improve quality and reliability through testing, validation, and simple, maintainable engineering practices

AI & Transformation

• Actively leverage AI tools in your daily development workflow — we see AI as a practical accelerator for engineering, automation, testing, and operational work
• Help shape a more AI-enabled, automation-first way of working across data warehousing
• Challenge legacy delivery patterns and propose pragmatic, modern alternatives that improve speed, quality, and leverage
• Identify where AI and automation can remove repetitive work, simplify operations, and improve how data is delivered to the business
• Contribute to building a culture where experimentation, learning, and continuous improvement are part of the job

DevOps & Automation

• Improve CI/CD pipelines and deployment practices for data workflows
• Work with Docker and container-based development and deployment workflows
• Implement monitoring, alerting, and observability for critical data processes
• Automate repetitive tasks and operational processes wherever manual work limits scale or speed

Collaboration & Growth

• Participate in code reviews, knowledge-sharing sessions, and team ceremonies
• Collaborate with Tech Leads and architects to refine technical standards
• Proactively share learnings and contribute to internal documentation, engineering practices, and team standards
• Bring curiosity, initiative, and a strong learning mindset to both technical work and team development
• Support and mentor junior colleagues

Who you are

Your background and skills include:

• 4+ years of experience in data engineering or software development
• Strong Python and SQL skills — you write code daily and enjoy it
• Experience with cloud data platforms (Snowflake, or similar such as BigQuery, Redshift, Databricks)
• Familiarity with CI/CD concepts and tools (Git, Jenkins, GitHub Actions, or similar)
• Understanding of data modelling and warehousing fundamentals
• Curiosity and willingness to embrace AI-assisted development — you see AI as a tool to amplify your capabilities
• A builder mentality — you want to improve how things work, not just operate within existing pattern
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience

It would be ideal if you also have:

• Experience with container technologies (Docker, Kubernetes)
• Familiarity with orchestration tools (Airflow, Prefect, or similar)
• Exposure to infrastructure-as-code or configuration management
• Experience in a financial services or regulated environment
• Interest in data quality frameworks and automated testing, or self-service data capabilities.

Why join us now

We are at a point where the old way of scaling warehousing work is no longer enough. Our team is actively:

• Adopting AI at scale — using AI as a practical accelerator for development, testing, automation, and daily engineering work
• Transforming our way of working — moving from manually intensive delivery toward more proactive, automation-driven engineering across data warehousing
• Building a stronger engineering culture — raising expectations around ownership, learning, simplicity, and impact
• Modernizing our platform — improving developer experience, reducing manual work, and raising the bar on engineering quality

What we offer

Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.

• A chance to work on meaningful engineering problems in a business-critical domain
• An opportunity to help shape how data warehousing and automation evolve in a major Nordic bank
• Colleagues with diverse backgrounds across engineering, data, and business domains
• People are driven by many different factors. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward.
• A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.

Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.

Diversity and inclusion are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving.

A security clearance will be performed for the person selected for this position.