Data & AI Governance Engineer

Unlock the Power of Data with Us! In a world where data is ubiquitous, we provide the structure and processes to unleash the full potential of our in-house data, powering the latest AI-based applications. Are you an energetic, self-motivated, and tech-savvy professional? We invite you to take a role in our team! 

About the Role  

In this role, you will be using a combination of technical expertise and leadership skills to: 

• Drive engineering excellence by defining and support of coding & architectural best practices
• Design and develop engineering upskilling specific for data, ML and AI domain
• Develop internal tools used by technical teams to improve and monitor project development process and quality
• Conduct independent technical reviews for projects and provide architectural guidance to development teams
• Foster a culture of data & engineering quality and accountability through stakeholder engagement, training, and consulting
• Guide engineering teams in implementing data governance policies and support creation of data governance policies in collaboration with other teams
• Work closely with internal Tech and Business stakeholders, on all levels, to integrate quality standards
• Keep abreast of the latest technology trends and regulatory changes impacting data & engineering quality

About the Team 

You’ll join a diverse and impactful team that sits at the intersection of AI technology, policy, and engineering excellence. You’ll shape how Data & AI is governed across Swiss Re, ensuring our data landscape discoverable, up-to-date and following engineering best practices. We support hybrid and international collaboration across teams located in Zurich, Bratislava, Bangalore, and beyond. 

About You 

Nobody is perfect and meets 100% of requirements. If you, however, meet some of the criteria below and are genuinely curious about the world of data engineering, we will be happy to meet you. 

• Degree in Computer Science, Information Management, Engineering, Statistics, Mathematics, or a related field, or equivalent experience. We welcome different levels, including graduates
• Knowledge of Python and/or TypeScript for backend and/or full-stack tool development
• Ambition to promote software engineering best practices in production grade data ingestion and transformation pipelines
• Commitment to staying updated with the latest industry trends, technologies, and regulatory changes

If you also have the following experience and interests, it is a huge plus: 

• Experience in distributed computing/databases (e.g. Spark)
• Experience in building / designing data processing pipelines and data dashboards
• Interest in working close to data engineers, data scientists and domain experts
• Experience in engaging with stakeholders at all levels, including senior management and external partners
• Drive to promote adherence to data governance policies and actively participate in defining these policies to ensure the long-term engineering quality of our solutions

Please note, we do not expect every candidate to fulfil these criteria, as it is quite rare to encounter such a profile. If you do not meet all these requirements, but are eager to learn them, we still encourage you to apply get in contact with us.   

For Slovakia the base salary range for this position is between EUR 2,400 and EUR 4,100 per month (for a full-time role). The specific salary offered considers:​

• the requirements, scope, complexity and responsibilities of the role, ​
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.​