Swiss Re Business Services (Slovakia) s.r.o.

Senior Data Analyst / Engineer

Place of work
Mlynské nivy 12, Bratislava, Slovakia (Job with occasional home office)
Contract type
Wage (gross)
From 2 500 EUR/monthThe minimum gross monthly base salary for this role is 2500 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.

Information about the position

Job description, responsibilities and duties

As Data Engineer in COOBS, you would work on functional and technology initiatives using innovative data, cloud and integration technologies. Data Engineer develops end to end applications, dealing with database, client side and server-side components, and basic UI and integration of applications. Data Engineer solves technical problems of various levels of complexity. We take ownership of code and ship features, bug fixes, and improvements with support from other team members when needed. We work with customers and other colleagues needed to deliver a product.

This position demands an ability to identify a problem, prioritize, and communicate proactively. The ideal candidate will have experience working backwards from the product design to understand the true requirements underlying feature requests.

We offer a flexible working environment where curious and adaptable people thrive.

About the Department

Swiss Re Asset Management manages the assets generated through the core insurance and reinsurance business.

Asset Management IT is part of Asset Management and ensures stable investment platforms and trade lifecycle management while delivering meaningful, timely financial data, enabling our customers to support AM's overall business performance. It also expands business processes automation and efficiency across the value chain through workflow solutions and robotics development.

About the Team (we are called COOBS)

Our motto is: "COOBS... your closest IT friend". We are globally dispersed team of 12, best mix of internals, externals, diverse culture backgrounds. We partner with our business clients to support their activities. It includes development of reconciliations, automation of the processes via robots or Microsoft's Power platform, visualisation and insights into data in Power BI paginated as well interactive. We ensure we extract and report right and accurate data to regulators on time. In line with our motto, we also dedicate time to gain new skills to be enabler for our clients and will support you to do the same!

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.

Requirements for the employee

Candidates with education suit the position

University education (Bachelor's degree)
University education (Master's degree)

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

An ideal person is someone who is eager to learn - new technologies, ways of work, business context. The person is at the same time curious about data from its origin till final product. Actively trying to understand our business client's problem is important. You are passionate about data as well visual language. You love challenges and turning them into solutions and personal and professional growth.

- 2+ years of work experience in an agile digital product development environment
- Proficiency in multiple databases and understanding of traditional SQL
- Experience in business intelligence platforms (Power BI, Tableau)
- Experience working closely with IT and business teams

Helpful Additional Skills:
- Understanding of financial product data models (transactions, positions, security master)
- Experience working with varied forms of data infrastructure inclusive of relational databases (MS SQL, Oracle DB, PostgreSQL) and non-relational (Hadoop HDFS, Mongo DB)
- Experience in Python
- Hands on experience in building applications for cloud platforms, Azure preferred

Behavioral Competences:
- Great standout colleague with a 'can do' approach and curiosity about learning
- High degree of flexibility, independent and proactive working style
- Ability to work in an interdisciplinary and multi-cultural environment
- Ability to navigate through ambiguity

Are you The person? Read further about role and team!


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 person: Maria Pollakova

ID:4223952Dátum zverejnenia:25.4.-=KONTAKT=-lokalita:BratislavaPozícia:Database Analyst,Software EngineerSpoločnosť:Swiss ReZákladná zložka mzdy (brutto):2 500 EUR/month

Počet videní: 1
Ponúkaná mzda: 2500 EUR
Inzerent:Swiss Re Business Services (Slovakia) s.r.o. [ ]
Zverejnené dňa:2022-04-25 (31 dní)
Zverejnené pre lokality:Slovensko Bratislavský kraj Bratislava Z domu / Remote
Pracovná ponuka nájdená za 0 milisekúnd.