Senior Tech Lead - Data Engineering & Warehousing (Python, IT/DevOps)

<p><strong><span>Job ID: 29542</span></strong></p> <p> </p> <p><span>Welcome to Group Technology, where we pride ourselves on engineering solutions and directing Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its environment to enable the Customer Vision and Business Strategy.</span></p> <p> </p> <p><span>We are seeking a highly experienced Senior Tech Lead for Data Engineering &amp; Warehousing - a strategic leadership position requiring exceptional technical depth, proven influence, and autonomous execution capabilities. This role is critical to establishing technical excellence and automation standards while optimizing our Snowflake-based data platform. We need a self-driven professional who can architect efficient solutions, drive automation initiatives, and establish best practices across high-performing teams. .</span></p> <p> </p> <p><span><strong><span>About our team</span></strong></span></p> <p> </p> <p><span>Welcome to the Trading Data Warehouse &amp; BI team. You will work in a fast-paced, agile environment, with stakeholders representing Scandinavia’s largest trading floor. We support a wide range of business processes in Nordea’s Trading business domain. You’ll join a team of enthusiastic data professionals across Scandinavia, Poland and India. This role is based in either Denmark or Poland.</span></p> <p> </p> <p><strong><span>As a Tech Lead, your main responsibilities will include:</span></strong></p> <p><span><strong>Technical Standards &amp; Architecture</strong></span></p> <ul> <li><span>Establish and enforce technical standards for data engineering practices and code quality</span></li> <li><span>Define architectural patterns for efficient Snowflake utilization and data pipeline design</span></li> <li><span>Drive automation initiatives to reduce manual work and improve operational efficiency</span></li> <li><span>Optimize Snowflake performance through query optimization, cost management, and resource allocation</span></li> </ul> <p> </p> <p><span><strong>Automation &amp; Process Excellence</strong></span></p> <ul> <li><span>Design and implement automated ETL/ELT processes leveraging Snowflake's cloud capabilities</span></li> <li><span>Establish CI/CD pipelines for data workflows and deployment automation</span></li> <li><span>Implement automated testing frameworks for data quality and pipeline validation</span></li> <li><span>Drive operational efficiency through intelligent automation and monitoring solutions</span></li> </ul> <p> </p> <p><span><strong>Platform Optimization &amp; Best Practices</strong></span></p> <ul> <li><span>Optimize Snowflake utilization including warehousing, clustering, and cost management</span></li> <li><span>Establish data modeling standards and governance frameworks</span></li> <li><span>Implement monitoring and alerting for proactive issue detection and resolution</span></li> <li><span>Ensure data quality standards through automated validation and testing</span></li> </ul> <p> </p> <p><span><strong>Team Leadership &amp; Technical Influence</strong></span></p> <ul> <li><span>Mentor and develop team members in Snowflake best practices and modern data engineering</span></li> <li><span>Drive knowledge sharing and establish centers of excellence</span></li> <li><span>Influence technical decisions across stakeholder teams and business units</span></li> <li><span>Lead technical reviews and establish coding standards and practices</span></li> </ul> <p> </p> <p><span><strong><span>Who you are</span></strong></span></p> <p> </p> <p><strong><span>Your background and skills include:</span></strong></p> <ul> <li><span>7+ years in data engineering with strong Python and SQL expertise.</span></li> <li><span>Deep understanding of data engineering, cloud, IT/DevOps, and software engineering.</span></li> <li><span>Strong knowledge of data modelling, warehousing concepts, and query optimization.</span></li> <li><span>Proficiency in CI/CD, automation, and containerization/orchestration (Docker, Kubernetes).</span></li> <li><span>Hands-on experience applying AI for automation, code generation.</span></li> <li><span>Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.</span></li> </ul> <p> </p> <p><span><strong><span>What we offer</span></strong></span></p> <p> </p> <p><span>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.</span></p> <p> </p> <p><span><strong>People </strong>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.</span></p> <p> </p> <p><span><strong>A culture</strong> that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from