Location: 

Bratislava, BL, SK

 

Quality Assurance Engineer - Oracle/Java 


About Swiss Re

The Swiss Re Group 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. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.

 

About the role:

Do you have a real passion for data and technology? Join our highly skilled global team. You will work with colleagues from various countries who have studied at universities around the world and have world-class experience, which will be an exciting learning opportunity. You'll work closely with many business units and on projects which will enable you to actively demonstrate your technical and qualitative skills.


Are you ready for new opportunities and interested to take on these challenges?
We are looking for a Data Quality Analytics Consultant to join our team.
• We autonomously develop effective methods, techniques and/or programs to solve the tasks.
• We handle, develop and implement appropriate quality assurance frameworks for our customers and contribute to further improve existing ones.
• We define guidelines and create clarity on maturity of current data quality activities and provide support to constantly learn quickly.


About the Team:
We are a small agile team with great team spirit, part of the information management unit, which is a global team responsible for managing all data related matters for Swiss Re worldwide. While customers are spread all over the world, we are in Bratislava and Zurich.


About you:
o Do you have very good SQL knowledge and programming skills (e.g. Oracle SQL, MS SQL)?
o Your good programming skills in Java or another common programming language are completing our team’s skill set?
o Are you like us: very good in analytical and logical thinking and working?
o Do you love to find errors, weak points, vulnerabilities and inconsistencies in program code and data content?
o Is your creative thinking style oriented to find customer-centric and sustainable solutions?
o User experience is not an alien concept to you?
o Are you an expert in creating crisp reports with appealing and clear graphs?


In addition, as a great teammate you
o are independent and take on responsibility - dedicated and ready to help where needed.
o have a get it done mentality: Efficient and accurate even under pressure and a high degree of flexibility.
o can handle ambiguity and conflicting information.
o have working experience in data quality assurance or information management.
o are motivated to learn and develop yourself and the team.
o have excellent verbal and written communication skills in English.


You impress us even more, if you
o possess experience in (re-)insurance or financial sector.
o know how to work with Excel-VBA.
o are experienced in working in an agile environment.

 

Minimum base salary for this job from 1700 EUR gross/month/full time. Our offer to you may be higher based on your skills and experience and will include additional rewards and benefits.

 

**We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional competencies, qualifications and experience in our compensation package and/or when offering you other positions. Our compensation philosophy is to pay fairly, also considering market situation and the value employees may bring to Swiss Re.

 

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.


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Reference Code: 85683