Bratislava, SK
Data Engineer
About the role
Our team is building the next generation Data Quality tool for Swiss Re. You will be part of a team responsible discussing and designing new product and implementing data pipelines in distributed environment using cutting edge technologies.
Joining us, you will learn the technologies that are used in modern data solutions with a focus on cloud technologies and distributed systems, but also gain experience in the application of big data techniques to solve complex problems on real data, in a collaborative environment with colleagues from Swiss Re's international offices.
A regular day with us:
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Design data pipelines and analytical solutions
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Develop innovative solution to facilitate business users day to day activities
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Ensure the reliability, quality, and optimal performance of our data quality products
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 analytics, we will be happy to meet you. If you possess traits and experience that match most of the below, we’d love to hear from you:
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University degree or equivalent experience in a technical role
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Good SQL knowledge and at least one programming language (Python preferred)
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Good understanding of database schema development
Nice to have
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Knowledge of ML
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Experience with Big Data (i.e., Spark)
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Data Governance and Data Quality experience
The minimum gross monthly base salary for this role is 2200 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.
This job offer is suitable for people who have been impacted by the invasion of Ukraine.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
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.
Reference Code: 128287
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Data Architect, Data