Sustainability Data Engineer
Bratislava, SK
Swiss Re
About the team
ESG (Environmental, Social and Governance) regulations and standards are rapidly emerging across the globe and imposing new and complex reporting requirements which impact Swiss Re. Our team together with you are responsible for shaping and building the Sustainability Reporting platform encompassing all technology and data capabilities which allow for efficient end-to-end data flows and reporting, on a global as well as on local legal entity level to ensure compliance with relevant regulations.
The Sustainability Reporting Data Engineer is a meaningful role within our team, responsible for the development and maintenance of scalable data pipelines and architectures, ensuring the seamless flow and availability of sustainability related data across the organization.
About the role
- Develop and Maintain Data Pipelines: Build and manage robust and scalable data pipelines that facilitate efficient data flow, integrity, and accessibility to support sustainability reporting requirements at both Group and local legal entity levels.
- Data Integration and Automation: Implement automated processes for data collection, integration, and cleansing to ensure accurate and timely data availability for reporting and analysis.
- Collaborate on Architectural Decisions: Contribute to the planning and implementation of data architecture and designs, ensuring they align with the enterprise architecture and meet business needs.
- Cross-Functional Team Support: Work alongside product owners, developers, business analysts, architects, and IT operations to support data needs across different teams and units.
About you
- Excellent engineering skills and proficiency in at least one programming language (Python preferred)
- Proficient in designing and implementing data pipelines and analytical / reporting solutions on enterprise data platforms (Palantir Foundry is a plus) and distributed computing (PySpark).
- Experience in integrating DevOps and release management practices (DevOps and CI/CD)
- Knowledge of regulatory reporting, IT operations and/or governance processes is a plus.
- A results-driven team player with a collaborative, "can-do”, energetic self-starter personality
- University degree in a related field (e.g., computer science, data engineering, data science).
- A minimum of 5 years of relevant work experience.
The minimum gross monthly base salary for this role is 2700 EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
#LI-Hybrid
About Swiss Re
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 cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
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Reference Code: 129686
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture CI/CD Computer Science Data pipelines DevOps Engineering Pipelines PySpark Python
Perks/benefits: Flex hours
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