Zurich Insurance Company Ltd.

We want to tell you one thing: We care for our employees.
As a part of our team - you become the essence of our business, because you add value to everything that we do.

Caring for well-being

Unique career

Caring for communities

Caring for development

Cooperating and sharing

Why you will like us

  • we have that kind of environment that welcomes any ideas that are pushing the envelope
  • we work hard, but we value your work-life balance
  • we make the difference - the unique bottom-to-top program that motivates employees to make Zurich Insurance a better place to work
  • our Development weeks will help you improve your skills

Interested already?

Send CV to the company

Information about the position

Job description, responsibilities and duties

Data Engineer with Python & Spark/ SQL

Become a part of Data & Analytics Engineering team and support Zurich North American business. We provide strategic portfolio support to enable data-driven strategic decisions. Help us scale up the suite of data and analytics for our customers and leverage our capabilities to uncover claims trends and insights for underwriting.

As Data Engineer, your main responsibilities will include:

• Developing production ready pipelines (using Python, PySpark, Spark SQL)
• Deploying data flows and trained Python models developed by Data Scientists to production
• Optimizing code and queries for improved performance and stability
• Performing testing and validation for data changes, production model changes, and platform upgrades
• Researching and conducting testing of new techniques and platform integration
• Providing data engineering expertise, general technical support, and platform/tool support for data scientists and analysts

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

As Data Engineer, your skills and experience will ideally include:

• University education (Master's degree);
• 2+ years of experience with Spark and Python or SQL;
• 2+ years of experience in Enterprise Data Engineering using Hadoop technologies, distributed compute, and metastores;
• Knowledge of data science platforms and/or cloud technologies such as Azure, Databricks, Dataiku is an advantage;
• Passion and understanding of Cloud technologies and architectures;
• English - Upper intermediate (B2 or better), spoken and written


Brief description of the company

Zurich Insurance Company Ltd is a leading multi-line insurer that serves its customers in global and local markets. With about 53,000 employees, it provides a wide range of property and casualty, and life insurance products and services in more than 210 countries and territories. Zurich's customers include individuals, small businesses, and mid-sized and large companies, as well as multinational corporations.

Zurich Bratislava is a Slovakia-based competence center for highly specialized services in the areas of Life Actuarial, Non-life Pricing & Analytics, Claims, Risk Management, Business Intelligence, IT Application Development and Service Management - as well as Insurance Network Management.

An international workforce of more than 200 talented professionals are supporting Zurich business units around the globe with value added services.

Number of employees

200-249 employees

Company address

Zurich Insurance Company Ltd, organizačná zložka
Mýtna 48
811 07 Bratislava - Staré mesto


Kontaktná osoba: Nikola Bilkova
E-mail:poslať životopis
ID:4095059Dátum zverejnenia:3.6.-=KONTAKT=-Lokalita:BratislavaPozícia:Python ProgrammerSpoločnosť:Zurich Insurance Company Ltd, organizačná zložkaPracovná ponuka je prevzatá z inej stránky alebo zdroja.Základná zložka mzdy (brutto):2 000 EUR/month

Počet videní: 1
Ponúkaná mzda: 2000 EUR
Inzerent:Zurich Insurance Company Ltd. [ ]
Zverejnené dňa:2021-06-03 (16 dní)
Zverejnené pre lokality:Slovensko Bratislavský kraj Bratislava
Pracovná ponuka nájdená za 0 milisekúnd.