Senior IT Developer - Data Engineering & Warehousing (Python | SQL | Cloud)

Навыки

• Airflow
• BigQuery
• CI/CD
• Dagster / Prefect / Luigi
• Data Quality
• Databricks
• Docker

О компании и продукте

• FIØ and FIB internship programs
• 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 seeking a 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.

Задачи

• 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
• Skip to main content
• Language

Требования

• 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
• This is an opportunity to join at a pivotal moment and help shape both the technology and the operating model behind it
• If you want to build a more automated, AI-enabled, business-relevant warehousing environment, this is the right time to join

Условия

• Collaboration
• Ownership
• 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
• If this sounds like you, get in touch!
• We will start interviews before the opening closes
• For more information, you’re welcome to contact hiring manager Ivan Antipin at ivan.antipin@nordea.com or Oscar Asiimwe at musana.oscar.asiimwe@nordea.com
• We enable dreams and aspirations for a greater good
• We build relationships
• We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates
• We learn and develop
• We take pride in being experts and thinking ahead
• We use our expertise to meet our customers’ needs, from the simplest to the most complex
• We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.