Можливість для людей з України
Ľutujeme, spoločnosť ponúkajúca danú pracovnú pozíciu ukončila zverejnenie ponuky na stránke.
Ďakujeme za porozumenie.
Zobraziť podobné ponuky
Ďakujeme za porozumenie.
Zobraziť podobné ponuky
Senior Data Engineer
Place of work
Mlynské nivy 12, Bratislava, Slovakia (Job with occasional home office)
Mlynské nivy 12, Bratislava, Slovakia (Job with occasional home office)
Contract type
full-time
full-time
Wage (gross)
From 2 500 EUR/monthMinimum base salary for this job is from 2 500 EUR gross/month/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.
From 2 500 EUR/monthMinimum base salary for this job is from 2 500 EUR gross/month/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.
Information about the position
Job description, responsibilities and duties
As a Senior Data Engineer, you will be responsible for designing and implementing complex data pipelines and analytics solutions to support key decision-making business processes in our Reinsurance Client Solutions business domain. You will gain exposure to a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re Reinsurance Client Solutions.
You will be expected to take end-to-end ownership of deliverables, gaining a full understanding of the Reinsurance data, Client data and the business logic required to deliver analytics solutions.
Key responsibilities include:
- Work closely with Product Owners and Architects to understand requirements, formulate solutions and evaluate the implementation effort.
- Design, develop and maintain scalable data transformation pipelines
- Design and implement analytics models and visualizations to provide actionable data insights
- Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape.
- Collaborate within a global development team to design and deliver solutions
- Assist stakeholders with data-related functional and technical issues
About the Team
This position is part of the Reinsurance Client Data Solutions within the Reinsurance Data Office team. We are part of a global strategic initiative of Risk Data Services for enabling the collaborative Data Analytics platform for our Clients to make data driven decisions with the help of Swiss Re data and expertise.
You will be expected to take end-to-end ownership of deliverables, gaining a full understanding of the Reinsurance data, Client data and the business logic required to deliver analytics solutions.
Key responsibilities include:
- Work closely with Product Owners and Architects to understand requirements, formulate solutions and evaluate the implementation effort.
- Design, develop and maintain scalable data transformation pipelines
- Design and implement analytics models and visualizations to provide actionable data insights
- Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape.
- Collaborate within a global development team to design and deliver solutions
- Assist stakeholders with data-related functional and technical issues
About the Team
This position is part of the Reinsurance Client Data Solutions within the Reinsurance Data Office team. We are part of a global strategic initiative of Risk Data Services for enabling the collaborative Data Analytics platform for our Clients to make data driven decisions with the help of Swiss Re data and expertise.
Information about the selection process
This job offer is suitable for people who have been impacted by the invasion of Ukraine.
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
Requirements for the employee
Candidates with education suit the position
University education (Bachelor's degree)
University education (Master's degree)
University education (Master's degree)
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
You enjoy the challenge of solving complex big data analytics problems using state-of-the-art technologies as part of a growing global team of data engineering professionals. You are a self-starter with strong problem-solving skills and capable of owning and implementing solutions from start to finish.
Key qualifications include:
- Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline
- At least 7 years of experience working with large scale software systems
- Proficient in Python/PySpark
- Proficient in SQL (Spark SQL preferred)
- Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
- Experience with Scrum/Agile development methodologies
- Experience with JavaScript/HTML/CSS a plus
- Experience working in a Cloud environment such as AWS or Azure is a plus
- Experience with Java and Gradle a plus
- Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus
- Experienced in working with a diverse multi-location team of internal and external professionals
- Strong analytical and problem-solving skills
- Self-starter with a positive attitude and a willingness to learn
- Ability to manage own workload; self-directed
- Ability and enthusiasm to work in a global and multicultural environment
- Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments
- Strong organizational skills
Key qualifications include:
- Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline
- At least 7 years of experience working with large scale software systems
- Proficient in Python/PySpark
- Proficient in SQL (Spark SQL preferred)
- Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
- Experience with Scrum/Agile development methodologies
- Experience with JavaScript/HTML/CSS a plus
- Experience working in a Cloud environment such as AWS or Azure is a plus
- Experience with Java and Gradle a plus
- Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus
- Experienced in working with a diverse multi-location team of internal and external professionals
- Strong analytical and problem-solving skills
- Self-starter with a positive attitude and a willingness to learn
- Ability to manage own workload; self-directed
- Ability and enthusiasm to work in a global and multicultural environment
- Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments
- Strong organizational skills
Advertiser
Brief description of the company
As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.
Number of employees
1700 and more employees
Company address
Contact
Contact person: Lucia Vargova
ID: 4297873
Dátum zverejnenia: 5.5.2022
2022-05-05
lokalita: Bratislava Pozícia: Database Administrator, Database Analyst, DevOps Engineer, IT Architect, Systems Engineer Spoločnosť: Swiss Re
Základná zložka mzdy (brutto): 2 500 EUR/month