Data Engineer to Swedbank’s Group AI Accelerator

• Design, build, and optimize data pipelines from ETL to ingestion, chunking, and embedding approaches to support generative AI application development tailored for corporate & institutions business needs.

• Develop and implement strategies for context engineering to enhance the relevance and accuracy of AI applications.

• Implement and manage vector stores to ensure efficient data retrieval and processing.

• Leverage MS Azure services for scalable pipeline development and cloud integration.

• Collaborate with cross-functional teams to support application/model monitoring efforts and drive continuous improvement initiatives.

• Foster agile software development practices, ensuring adaptability to changing product requirements.

• Play a pivotal role in accelerating the pace of delivery over time while maintaining high standards of quality and efficiency.

• Make a tangible impact on the company's success through your expertise.

• Engage in continuous learning through trainings, workshops and by working on diverse projects that push technological boundaries.

• Be part of an innovative team that values creativity, diversity, inclusion, and fosters an environment where new ideas are encouraged.

• Strong programming skills primarily in Python, especially geared towards building scalable data pipelines in generative AI development. Proficiency with MS Azure is advantageous.

• Proven track record in developing robust ingestion processes from traditional ETL approaches to chunking and embedding approaches, including vector store management. Familiarity with CI/CD concepts is beneficial.

• Ability to design context-aware systems that improve AI output relevance. Experience in optimizing pipeline performance is key.

• Excellent communication and collaboration skills, with enthusiasm for teamwork; effective stakeholder management experience desired.

• Creative problem-solving capabilities coupled with critical thinking skills; proven track record of addressing complex challenges through innovative solutions. Commitment to exploring new methodologies that advance AI application capabilities.

• Knowledge of best practices for secure handling of sensitive banking information within data engineering projects on Azure platforms.

• A growth mindset — motivated to explore frontier AI developments, stay updated on AI trends, and apply learnings to real-world challenges.

• Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence or similar fields or comparable demonstrated hands/on experience.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Benefits such as our share based reward program Eken, company pension plan, employee offer for banking products, health insurance.

be a part of an international team of professionals, who are jointly delivering challenging projects, maximizing customer value and increasing Swedbank’s competitive advantage”. Nanna Nenzén Filipovic, your future manager

Location: Stockholm & Umeå

Recruiting manager: Nanna Nenzén Filipovic

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check and a drug test may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

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