Oferta pracy

Data Engineer

HOIST FINANCE AB

  • Katowice

    Katowice, Silesian
  • offer expired over a month ago
  • contract of employment
  • full-time
  • specialist (Mid / Regular)
  • hybrid work
  • remote recruitment

Your responsibilities

  • Develop data integration flows from source systems into the Hoist Finance data platform.

  • Develop data flows and creating data model for the data vault enterprise in the Hoist Finance data platform.

  • Maintain and support Hoists various data platforms both in the cloud and on premise and both local and group, mainly on the Microsoft BI stack.

  • Analyse and contribute in the design of solution for business specific requirements within the data area.

  • Work closely with the analyst and governance teams on data requirements.

  • Work proactively on securing the data platform to be stable and future proof.

Our requirements

  • Minimum 3 years’ experience in a Data Engineer Role.

  • BA degree in Computer-System Science or Statistics or higher.

  • At least intermediate knowledge of one of popular RDMBS (i.e. SQL Server, Oracle, PostgreSQL, DB2, MySQL etc.).

  • Excellent communication, interpersonal and listening skills. The ability to communicate in English to a high standard is essential.

  • Extensive knowledge regarding contemporary BI Stack design and implementation.

  • Preferable knowledge and experience in some of the following areas:- Snowflake, DBT, Azure technologies including Azure Data Factory, Azure Data Lake Gen2, Azure DevOps, Azure Functions, PowerShell, GIT, Python and C# .

  • Preferable knowledge and experience with the Microsoft BI stack: SQL Server 2016 or later, SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, Knowledge of PostgreSQL.

  • Knowledge and experience with Data Warehouse Design Patterns.

  • Experience in working with BI reporting Tools (i.e. Tableau, SSRS) is an advantage.

  • Familiarity with IT administration, both on Linux and Windows Server.

  • Experience in BI environment within a retail financial sector, preferably debt collection.

What we offer

  • A contract in a friendly atmosphere within a group listed on the Swedish stock exchange.

  • Opportunity to gain experience in an international organization.

  • An opportunity to participate and drive the work of developing a Shared Service Centre.

  • Social benefits package: private medical care, sports programs, co-financing of commuting and group insurance.

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • flexible working time

  • integration events

  • coffee / tea

  • leisure zone

  • extra social benefits

HOIST FINANCE AB

Hoist Finance a trusted debt restructuring partner to international banks. We have enjoyed strong growth for the past years, and we are currently operating in 13 European countries with more than 1,600 employees. With over 20 years of experience, we have become one of the leading debt management companies in Europe. Hoist Finance is listed on Nasdaq in the Nordic Mid Cap segment.

Our Shared Service Center is a supporting function for other entities within Hoist Finance. We play an important role in relation to Hoist Finance's development strategy. We perform internal processes and create supporting tools, which optimize and support the work of various teams in other countries. Our Wrocław office is a constantly evolving place, where over 100 colleagues provide support in the fields of accounting, investments and digital solutions. We put great emphasis on the diversity and development of our employees, expanding their competences whilst working in a very friendly environment.

Scroll to the company’s profile

Role purpose is to integrate data from all types of sources into the Hoist data platform. Model and maintaining a consolidated data model for One Hoist aligning all countries. Develop data flows in DBT, Snowflake, Azure Data Factory, Azure Data Lake Store, SQL Server.