Internship Data Quality Management (all genders)

Erste Group; Wien; Hybrid; EUR 28,000 - 33,000; Part time

Benefits offered by this job

Hybrid work arrangement

Internship allowance

Job summary

Erste Group in Wien offers a 12-month part-time internship in the Group Data Management area within CFO division, aimed at improving data quality and BI production. The role supports data quality checks, SQL/Python development, and governance processes in a regulated banking environment.

You will work with SQL and Python, utilize Tableau for DQ reporting, and help prepare presentations for stakeholders while keeping documentation up to date.

Qualifications

• Ongoing studies at university of Applied Science.
• Speak fluent English.
• Hands-on mentality and willingness to learn in a regulated banking environment.
• Profound experience in SQL and Tableau.; Basic Python skills.

Responsibilities

• Update and maintain definition and scripts for Data Quality Checks.
• Update and maintain DQ reports in Tableau/Databricks.
• Monitor and analyze results of the Data Quality Checks.
• Support communication to stakeholders in Data Quality Management and BI production.
• Define/Run SQL and Python queries for DQ checks.
• Prepare presentations and testing activities.
• Maintain JIRA workflows and Confluence documents.

Skills

Hands-on mentality

Social and communication skills

Analytical thinking

Education

Ongoing studies at university of Applied Science

Tools

SQL

Tableau

Python

JIRA

Confluence

Job description

• Location: Wien
• Working hours: Part-time
• Occupational Area: Sonstige
• Company: Erste Group Bank AG

Erste Group was founded in 1819 as the first Austrian savings bank and is today one of the largest stock-listed banking groups in Central Europe. As an attractive employer, Erste Group offers interesting career opportunities in an international environment.

The Department Group Management Framework and Innovation is located within the area Group Data Management within CFO-division and is designed to improve Group-wide data quality and related processes and to automatize processes within Group Data Management. The department provides a DQM Governance and steering, the innovation framework and best practice including policies and end to end processes. is responsible for driving Innovation within the division with regards to usability, process and tool improvements.

Your Tasks

• Update and maintain definition and scripts for Data Quality Checks.
• Update and maintain DQ reports in Tableau/Databricks.
• Monitor and analyze results of the Data Quality Checks.
• Support communication to various stakeholders in the area of Data Quality Management and BI production.
• Define/Run SQL and Python queries for business and technical DQ checks.
• Prepare presentations.
• Testing activities.
• JIRA maintenance (Opening of Tickets, adapting Workflows).
• Keeping up to date department’s documentation (Confluence).
• Support the responsible use of approved AI tools for data-quality analysis, SQL/Python development and documentation, including validating outputs.

Your Background

• Ongoing studies at university of Applied Science.
• Speak fluent English.
• Like to think outside the box and possess a hands-on mentality.
• Have interest in learning and gain more experience in DQ Management and BI production processes in practice.
• Provide good social and communication skills.
• Profound experience in SQL and Tableau.
• Basic Python skills.
• JIRA/Confluence knowledge.
• Basic understanding of AI and generative AI, including their opportunities, limitations and risks in a regulated banking environment.

Our Offer

• Exciting and challenging internship for 12 months part-time (19.25h/week) as of mid January 2027
  Support of your professional and personal development in a dynamic, comprehensive and interesting area
• Discover and enjoy the benefits of Erste Group
• We guarantee an internship allowance of minimum EUR 2,745.32 gross per month on a full-time basis (except obligatory internships) and benefits of Erste Group
• We offer our employees the opportunity to divide their hours between working from home and at the office
• We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.