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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - Regulatory Data & Data Warehouse - **Company:** Raiffeisen Bank International AG - **Location:** Austria (Remote available) - **Salary:** €56,854.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, JIRA, Big Data, Profiling, Data Dictionary, Information Engineering, Data Governance, Data Vault Modeling, Data Visualization, Data Warehousing, Database Queries, Dimensional Modeling, Document-Oriented Databases, Python (Programming Language), Microsoft SQL Server, Scrum Methodology, Raw Data, Power BI, Software Requirements Analysis, SQL Databases, Test Case, GitHub Copilot, Large Language Models, Data Lakes, Pyspark, Data Lineage, Data Analytics, Databricks - **Published:** November 3, 2026 - **Apply:** https://jobs.rbinternational.com/talentcommunity/apply/1376565857/?locale=de_DE ## About the Role * Several years of experience in regulatory reporting, risk data or finance data in a bank (e.g., FINREP/COREP, group or head-office reporting). * Very strong SQL skills for data analysis, profiling and reconciliation of large datasets. * Proven experience in eliciting and documenting requirements, writing functional specifications and source-to-target mappings. * Sound understanding of data quality management (e.g., DQ rules, KPIs for accuracy, completeness and timeliness) and data lineage. * Experience in testing and validating data deliveries, including test case design and user acceptance testing. * Working knowledge of BCBS 239 principles and data governance concepts such as data ownership and data contracts. * Confident communication with business and IT: you can challenge requirements and explain technical constraints in business terms. * Experience working in agile teams (e.g., Scrum, Jira). * Very good German and English skills. Nice to have: * Hands-on experience with Databricks (SQL warehouses, notebooks, Unity Catalog as data catalog and governance layer). * Basic Python or PySpark skills for analysis and prototyping. * Knowledge of data modelling concepts (e.g., dimensional modelling, Data Vault). * Experience with data visualisation or DQ dashboards (e.g., Power BI, Databricks dashboards). * Practical use of AI tools (e.g., LLM assistants, GitHub Copilot) to speed up analysis, documentation and test case design. ## Description In this role you are the analytical link between our business departments (Regulatory Reporting, Risk, Finance) and our data engineering team. You turn business requirements into precise, testable specifications and make sure our regulatory data is correct, complete and on time. Your mission: * Elicit, analyse and document data requirements with business departments so they are ready for direct implementation in Databricks. * Analyse and profile source data (MS SQL Server, Delta Lake/Databricks) to find data gaps, inconsistencies and root causes of quality issues. * Create functional specifications: source-to-target mappings, business rules, data dictionaries and end-to-end data lineage. * Define and maintain data contracts together with data owners and data engineering. * Specify business data quality indicators (DQIs) and technical DQ checks for accuracy, completeness and timeliness; monitor and analyse the results. * Test and validate data deliveries: write test cases, reconcile new pipelines against legacy outputs and run user acceptance tests with business departments. * Support the migration of complex group reporting datasets from legacy processes to automated daily delivery via Databricks. * Contribute to implementing BCBS 239 and the ECB RDARR Guide, including documentation for internal audit and supervisory reviews. * Work closely with the Data Product Owner and data engineers in an agile team. ## About Raiffeisen Bank International AG **Did you know that RBI is one of the most popular domestic employers?**   Sure: it is also one of the **leading banking groups** in Austria and CEE. RBI not only shines on the outside, it also has inner values. The banking landscape is changing, as is RBI. **Cross-functional** teams, quick exchange of knowledge, independent work and **creativity** are very important. This is the only way for the bank to bring products and services onto the market in this fast-moving time that bring... **Tech Stack:** Java, Jenkins, Angular, JavaScript, Python, Kubernetes, Docker, REST, Agile Methodologies, Grafana, Apache, Go, Cloud (AWS/Google/Azure) , Data analysis, DevOps, Microservices **Industries:** Cloud Computing, Enterprise Software, Finance/Insurance, Computer Software [Company profile](https://www.wearedevelopers.com/companies/2938-raiffeisen-bank-international-ag) ### More Jobs at Raiffeisen Bank International AG - [Data Engineer & Data Analyst](https://www.wearedevelopers.com/jobs/ext/4531361-data-engineer-data-analyst) - [Scrum Master](https://www.wearedevelopers.com/jobs/ext/3998455-scrum-master) - [Cyber Defense Specialist](https://www.wearedevelopers.com/jobs/ext/3976960-cyber-defense-specialist) - [Full Stack Engineer](https://www.wearedevelopers.com/jobs/ext/3976999-full-stack-engineer) - [Frontend Developer](https://www.wearedevelopers.com/jobs/ext/3854438-frontend-developer)