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Job ID: 4087 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. 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 their personal data and wealth. Join us in making an impact on the banking industry. About Our Team The main goal of this role is to help us build and establish AI processes around our data. We work on financial and regulatory datasets in Snowflake and we want to start using AI meaningfully — not as a productivity gimmick, but as a serious part of how we work with data: surfacing insights, assisting engineers, and empowering business users who interact with our data platform. You'll own this space. That means figuring out what's worth building, what's feasible within a regulated banking environment, and then actually building it — from Snowflake Cortex integrations to LLM-assisted tooling for the engineering team to AI-powered features in our Streamlit self-service platform. Like everyone on the team, you work cross-functionally — from understanding what the data represents in a banking context, through development and testing, to owning CI/CD and deployment. We don't expect you to arrive with every answer. The team will support you with domain context, existing patterns, and shared knowledge — and you'll have people around you who are invested in your growth, not just your output. Main responsibilities in this role: Define and establish AI processes around our data — identify where AI adds real value, design the approach, and own the implementation Must have a good understanding of MCPs, Context Engineering and relevant tools that supports LLM integrations Must have an experience in productionized Agentic AI solutions with market/Industry standards decision making Agents Build LLM-powered features into our Streamlit-in-Snowflake platform (e.g. natural-language query interfaces, anomaly detection, schema explanation for business users in Finance and Risk) Work with Snowflake Cortex (LLM functions, Cortex Search, Cortex Analyst) to bring AI capabilities directly into our Snowflake environment Design RAG pipelines over our structured and semi-structured data — metadata catalogs, transformation configs, code repositories Develop AI-assisted tooling for the engineering team: SQL review assistants, documentation agents, test generators Contribute to team AI practices — how we use Copilot, what context we maintain, how we evaluate output quality Build and maintain Snowflake transformation pipelines alongside AI work — stored procedures, Snowpark (Python/Scala), Dynamic Tables Engage in requirement analysis — understand domain and data context before building solutions Own CI/CD for your deliverables end-to-end Who You Are Your background and skills include: Must have: 8+ years in data engineering or ML engineering with production Snowflake experience Strong SQL and Snowpark (Python or Scala) At least 1 year working with LLMs in production — API integrations, structured outputs, tool use, retrieval Practical experience with: Snowflake Cortex, Anthropic API, OpenAI API, or Azure OpenAI Airflow, Bitbucket, CI/CD — end-to-end ownership, not just code delivery Nice to have: Agentic frameworks (LangGraph, Claude Agent SDK) Streamlit in Snowflake LLM evaluation frameworks (LLM-as-judge, golden sets, prompt regression testing) Financial services or banking domain knowledge — credit risk, finance, or regulatory data background. You need to understand what the data means to build something useful on top of it Mindset: Comfortable working across the full delivery lifecycle — analysis, development, testing, deployment Thinks about cost, latency, and determinism when designing AI features Working with AI: Genuine fluency with LLMs — understands how they work, where they're useful, and where they fail Actively tracks the AI tooling market: new models, coding assistants, Snowflake Cortex updates, agentic frameworks Knows how to maintain context files and prompt standards so the whole team benefits from AI tooling, not just the person who figured it out Treats AI output as a starting point — reviews, tests, and owns what gets committed 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. 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! Next steps Submit your application no later than 30/09/2026. The recruitment process consists of the following steps: Preliminary CV selection Phone conversation with the recruiter Online interview with the hiring leader Background check 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. We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy. We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us. Studies show that members of underrepresented communities don’t apply for jobs unless they tick all the qualification boxes. If this is part of why you hesitate to apply, we would like you to reconsider and give it a chance. Maybe your profile fits our needs much better than you think. Only for candidates in Finland: A security clearance will be performed for the person selected for this position. Only for candidates in Poland: Please include permit for processing personal data in CV as following: In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
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When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.