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Data Engineer (maternity cover)
Place of work
Twin City B, Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
Twin City B, Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
Contract type
full-time
full-time
Wage (gross)
2 400 - 4 100 EUR/monthFor 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.
2 400 - 4 100 EUR/monthFor 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.
Information about the position
Job description, responsibilities and duties
Are you passionate about turning raw data into powerful, trusted insights that drive real business decisions? Do you thrive at the intersection of engineering, analytics, and innovation? If you're ready to build the data backbone of a forward-thinking organisation, we want to hear from you!
About the Role
As a Data Engineer 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 meets analytical curiosity — and where the data you craft becomes a strategic asset for the entire organisation. You'll collaborate with talented engineers, architects, analysts, and product owners to 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,l everaging 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 translate business 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 to improve scalability, reusability, and data quality in alignment with product owner priorities
Champion data best practices, including data governance, lineage, and documentation, to ensure 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 that powers 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 to making data a true strategic asset for the organisation.
About the Role
As a Data Engineer 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 meets analytical curiosity — and where the data you craft becomes a strategic asset for the entire organisation. You'll collaborate with talented engineers, architects, analysts, and product owners to 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,l everaging 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 translate business 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 to improve scalability, reusability, and data quality in alignment with product owner priorities
Champion data best practices, including data governance, lineage, and documentation, to ensure 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 that powers 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 to making data a true strategic asset for the organisation.
Employee perks, benefits
• Attractive performance-based bonus
• Ultra flexible working time in a hybrid setup, allowing you to work from home up to 50%
• Health & wellbeing program, including massages and sport activities
• Sessions with a psychologist and health check-ups directly at the workplace
• Modern office spaces in an attractive location (fun room, relaxation room, music room)
• Vivid community life (running club, book club, art club, Parents@SwissRe, and many others)
• 5 additional days of holiday
• 6 sick days and extra sick leave support
• Day off dedicated to volunteering
• Lunch allowance fully paid by Swiss Re
• Pension contribution
• Life insurance (fully covered)
• Learning and development opportunities
• Legendary summer event
• Public transport benefit
• Multisport card and corporate discounts
• Ultra flexible working time in a hybrid setup, allowing you to work from home up to 50%
• Health & wellbeing program, including massages and sport activities
• Sessions with a psychologist and health check-ups directly at the workplace
• Modern office spaces in an attractive location (fun room, relaxation room, music room)
• Vivid community life (running club, book club, art club, Parents@SwissRe, and many others)
• 5 additional days of holiday
• 6 sick days and extra sick leave support
• Day off dedicated to volunteering
• Lunch allowance fully paid by Swiss Re
• Pension contribution
• Life insurance (fully covered)
• Learning and development opportunities
• Legendary summer event
• Public transport benefit
• Multisport card and corporate discounts
Information about the selection process
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
Please use the link below to upload your CV in English.
We are looking forward to your application!
Requirements for the employee
Candidates with education suit the position
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
About You
You are an intellectually curious and solutions-oriented data engineer who takes pride in building things 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 the challenge of making complex data landscapes simple, reliable, and impactful. You are collaborative 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 and building data pipelines, transformation models, and analytical data assets at scale
- Cloud Platform Expertise: Hands-on experience with Palantir Foundry, Azure or another major cloud platform, including strong knowledge of data-oriented cloud services and architecture patterns
- Python / PySpark Proficiency: Strong programming skills in Python and PySpark for data processing, transformation, and analysis across large datasets
- Analytical Mindset: A natural ability to see the bigger picture in data — understanding not just 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 building intelligent, automated data workflows
- Data Visualisation: Ability to translate data into compelling visual stories through dashboards or applications built on Palantir Workshop, Power BI, or similar tools
You are an intellectually curious and solutions-oriented data engineer who takes pride in building things 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 the challenge of making complex data landscapes simple, reliable, and impactful. You are collaborative 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 and building data pipelines, transformation models, and analytical data assets at scale
- Cloud Platform Expertise: Hands-on experience with Palantir Foundry, Azure or another major cloud platform, including strong knowledge of data-oriented cloud services and architecture patterns
- Python / PySpark Proficiency: Strong programming skills in Python and PySpark for data processing, transformation, and analysis across large datasets
- Analytical Mindset: A natural ability to see the bigger picture in data — understanding not just 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 building intelligent, automated data workflows
- Data Visualisation: Ability to translate data into compelling visual stories through dashboards or applications built on Palantir Workshop, Power BI, or similar tools
Advertiser
Brief description of the company
Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to aging populations and cybercrime. Headquartered in Zurich, Switzerland, where we were founded in 1863, the Swiss Re operates through a network of around 70 offices globally. Our approximately 15'000 employees provide a wide range of technical expertise, enabling us to develop unique solutions and drive growth. Swiss Re Slovakia is the second largest location with various teams in Finance, IT, Business Operations, Asset Management, and other functions. In 2026, we celebrate 20th anniversary of building resilience in Slovakia. For more information please visit: www.swissre.com
Join Swiss Re and you will join a company awarded with Najzamestnavatel 2025 in Banking, Finance, and Insurance (1st place), Healthy Company of the Year 2025 (1st place) and Via Bona Responsible Large Company Award 2022 (1st place).
Number of employees
2500 employees
Company address
Contact
Contact person: Lucia Vargova
ID: 5311291
Dátum zverejnenia: 23.6.2026
2026-06-23
lokalita: Bratislava Pozícia: Programmer, Python Programmer Spoločnosť: Swiss Re
Základná zložka mzdy (brutto): 2 400 EUR/month