Data Engineer (maternity cover)

Are you passionate about turning raw data into powerful, trusted insights that drive real businessdecisions? Do you thrive at the intersection of engineering, analytics, and innovation? If you'reready to build the data backbone of a forward-thinking organisation, we want to hear from you!

About the Role

As a Data Engineer II within the Infotech Data & Analytics team, you'll play a pivotal role indesigning, building, and optimising the data pipelines and platforms that fuel decision-makingacross GDTO. This is a hands-on, high-impact role where your engineering expertise meetsanalytical curiosity — and where the data you craft becomes a strategic asset for the entireorganisation. You'll collaborate with talented engineers, architects, analysts, and product ownersto deliver scalable, reliable, and intelligent data solutions.

Key Responsibilities:

• Design and develop robust, scalable data pipelines and transformation workflows thatensure high-quality, trusted data flows across the organisation
• Build and maintain data models and transformation logic, ensuring data assets are well-structured, documented, and ready for analytical consumption
• Engineer and optimise solutions on cloud platforms such as Azure or Palantir Foundry,leveraging data-oriented cloud services to maximise performance and reliability
• Write clean, efficient code using Python/PySpark to process, transform, and analyse large-scale datasets
• Collaborate closely with product owners, data architects, analysts, and users to translatebusiness requirements into technical data solutions
• Troubleshoot and resolve complex data issues with clarity of thought and a structuredproblem-solving approach, keeping product owners informed of progress and outcomes
• Contribute to the evolution of the data and analytics solutions, identifying opportunities toimprove scalability, reusability, and data quality in alignment with product owner priorities
• Champion data best practices, including data governance, lineage, and documentation, toensure data assets are trusted and actionable
• Stay current with emerging technologies and trends in data engineering, cloud platforms,and AI to continuously enhance team capabilities

About the Team

The Infotech Data & Analytics team is the engine behind the data and analytics foundation thatpowers decision-making across GDTO. We build and operate trusted, scalable products —combining engineering, analytics, architecture, and AI — to transform raw data into meaningful,actionable insights. Our team thrives on collaboration, curiosity, and a shared commitment tomaking data a true strategic asset for the organisation.

About You

You are an intellectually curious and solutions-oriented data engineer who takes pride in buildingthings that work — and work well. You bring a structured approach to problem-solving,communicate clearly across technical and non-technical audiences, and are energised by thechallenge of making complex data landscapes simple, reliable, and impactful. You arecollaborative by nature, eager to learn, and excited by the idea of working with cutting-edgetechnologies at scale.

We are looking for candidates who meet these requirements:

• Data Engineering, Transformation & Analysis: Proven hands-on experience designing andbuilding data pipelines, transformation models, and analytical data assets at scale
• Cloud Platform Expertise: Hands-on experience with Palantir Foundry, Azure or anothermajor cloud platform, including strong knowledge of data-oriented cloud services andarchitecture patterns 
• Python / PySpark Proficiency: Strong programming skills in Python and PySpark for dataprocessing, transformation, and analysis across large datasets
• Analytical Mindset: A natural ability to see the bigger picture in data — understanding notjust how to move data, but how to make it genuinely valuable and insightful for end users
• Curiosity & Adaptability: A growth mindset and enthusiasm for picking up new tools,platforms, and methodologies as the data landscape continues to evolve

These are additional nice to haves:

• AI & Agentic Programming: Experience working with AI agentic frameworks and/or buildingintelligent, automated data workflows
• Data Visualisation: Ability to translate data into compelling visual stories throughdashboards or applications built on Palantir Workshop, Power BI, or similar tools

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.​