Internship Data Quality Management (all genders)
At a glance
Junior Data Architecture & Governance role at Erste Group. Wien.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Maintain data-quality check definitions and scripts, then review the results for issues
- Refresh data-quality reports in Tableau and Databricks and run SQL or Python checks
- Help communicate data-quality and BI production updates to stakeholders and prepare presentations
- Test changes, manage JIRA tickets and workflows, and keep department documentation current
- Use approved AI tools to support analysis and development, checking their outputs for accuracy
What you bring
- You are currently studying at a university of applied sciences and speak English fluently
- You have solid SQL and Tableau experience, plus basic Python skills
- You know JIRA and Confluence and understand generative AI’s uses, limits and risks in regulated banking
Who this fits
This internship suits a student seeking practical experience in data quality management and BI production. It runs part-time for twelve months, starting around mid-January 2027, with hours split between home and the office.
From the employer
Working with us means believing in the future; in the great people who are shaping it together every day and in the wide-ranging career paths it opens up. #believeinyourself
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.