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Job ID: 4088 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 This is a depth role. While everyone on the team builds on Snowflake, you're the person who sets the standard — for transformation patterns, performance, governance, and platform decisions. You know Snowflake deeply enough to know which feature to use, which to avoid, and why. You make architectural calls before anyone writes code and align Technology Product lead, and you're still happy to sit with a junior engineer on their PR afterwards. We work cross-functionally — senior engineers are expected to contribute across the full delivery lifecycle: from requirements elicitation and credit risk data domain understanding, through development and code review, to owning CI/CD standards and deployment practices for the team. You'll be joining a team that values knowledge sharing seriously — there's a strong culture of pairing, design reviews, and internal documentation. You'll both benefit from that and be expected to contribute to it. Main responsibilities in this role: Set technical standards for Snowflake transformations — when to use Dynamic Tables vs Tasks vs stored procedures vs Snowpark, and the tradeoffs of each Deep dive into Data and come up with technical solutions to align with Business requirements Contribute to and review requirement analysis — bridge domain knowledge and technical implementation Deep-dive performance work: query profiling, micro-partition analysis, clustering design, warehouse rightsizing, spill elimination Own data modeling decisions — schema design, partitioning strategy, incremental patterns, SCD approaches Lead governance: RBAC hierarchy, Database Roles, masking policies, row access policies, tag-based governance Design and evolve the data sharing architecture (Secure Views, Reader Accounts, cross-account sharing for downstream teams) Drive and own CI/CD standards for Snowflake: schemachange, Terraform, or equivalent integrated with Bitbucket/Jenkins Mentor mid-level engineers, run design reviews and brown-bags Partner with team lead on PI Planning, roadmap, and technical decisions Who You Are Your background and skills include: Must have: 10+ years in data engineering, with at least 3 years Snowflake at meaningful production scale Key understanding of Data knowledge and be able to perform Data analysis and be able to design and lead Technical solutions SnowPro Core certified; SnowPro Advanced: Data Engineer strongly preferred Deep SQL mastery: query plan interpretation, QUALIFY, MATCH_RECOGNIZE, recursive CTEs, advanced VARIANT/OBJECT/ARRAY handling, window functions, lateral joins Snowpark (Python or Scala) — knows when it's the right call and when SQL is better Strong grasp of Snowflake internals: micro-partitions, clustering, pruning, result caching, warehouse credit consumption Dynamic Tables, Streams, Tasks — has used all three in production and can articulate when each is appropriate Governance: RBAC, Database Roles, masking policies, row access policies Data sharing: Secure Data Sharing, Reader Accounts, cross-region/cloud replication CI/CD for Snowflake: schemachange, Terraform, or equivalent — owns it, doesn't just use it Financial services or banking domain knowledge — credit risk, finance, or regulatory reporting. At senior level, domain understanding directly influences architectural decisions Nice to have: Credit risk functional knowledge Airflow in a Snowflake-heavy environment DataStage (legacy interop context) Snowflake Cortex, Snowpipe Streaming Mindset: Comfortable working across the full delivery lifecycle — analysis, architecture, development, CI/CD, deployment Treats the platform as a product — reliability, cost, and developer experience all matter equally Documents decisions, not just code — architecture records, naming conventions, runbooks Working with AI: Uses AI tooling confidently and sets an example for the team on how to do it well Understands context engineering — knows that good AI output starts with good context, and helps maintain the repo-level files that make that possible Tracks the market: aware of how AI tooling for data engineering is evolving and can have an informed opinion on what's worth adopting Recognises when AI-generated code is architecturally wrong even if it compiles — and explains why 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.
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.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
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.