Data Analytics Engineer - Regulatory Data & Data Warehouse (f/m/x) at Raiffeisen Bank International AG

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• 🏢 Raiffeisen Bank International AG has 32 jobs here, 32 with visa sponsorship see all

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Gather and translate business requirements into testable, implementation-ready specifications for Databricks.
- Profile and analyse source datasets (MS SQL Server, Delta Lake) to uncover inconsistencies and root causes.
- Create source-to-target mappings, business rules, data dictionaries and end-to-end lineage artifacts.
- Define and maintain data contracts with data owners; specify business DQIs and technical checks.
- Design and execute reconciliation tests, support UAT and validate migrated pipelines against legacy outputs.
- Support automated delivery of group reporting datasets and contribute to BCBS 239 / ECB RDARR documentation.

Requirements:
- Several years’ experience in regulatory, risk or finance reporting in banking (e.g., FINREP/COREP).
- Very strong SQL skills for profiling, reconciliation and large-set analysis.
- Proven experience writing functional specifications and mapping complex data flows.
- Solid knowledge of data quality management, lineage and DQ KPIs (accuracy, completeness, timeliness).
- Experience in testing/validating data deliveries and running user acceptance tests.
- Working knowledge of BCBS 239 and data governance concepts; strong communication skills and agile experience.
- Advantage: hands-on Databricks and basic Python/PySpark for prototyping.

Responsibilities

You will act as the analytical link between business departments and the data engineering team to translate requirements into precise specifications. Your role involves profiling source data, defining data quality indicators, and ensuring regulatory data accuracy through rigorous testing and validation.

Requirements

Candidates must have several years of experience in regulatory, risk, or finance data within the banking sector. Strong SQL skills, experience with functional specifications, and knowledge of data governance principles like BCBS 239 are essential.

Key skills

• SQL — in 545 other listings on The Stack
• Regulatory reporting — in 15 other listings on The Stack
• Data analysis — in 278 other listings on The Stack
• Data profiling — in 3 other listings on The Stack
• Data quality management — in 3 other listings on The Stack
• Data lineage — in 14 other listings on The Stack
• Databricks — in 46 other listings on The Stack
• Delta Lake — in 22 other listings on The Stack
• Functional specifications
• Agile
• BCBS 239
• Risk data
• Finance data
• Requirement elicitation
• User acceptance testing
• Data governance

On The Stack (as of 2026-11-05)

• Raiffeisen Bank International AG has 31 other listings on The Stack, 31 of them marked as offering visa sponsorship.
• 13 visa-sponsored jobs in Austria on The Stack, posted in the last 60 days.

Frequently asked questions about Raiffeisen Bank International AG

Is this Data Analytics Engineer - Regulatory Data & Data Warehouse (f/m/x) role still open?

It was posted on 2026-11-03 and is listed as active on The Stack. Confirm on Raiffeisen Bank International AG's application page before applying.

Does Raiffeisen Bank International AG offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Raiffeisen Bank International AG's site.

Where is this role located?

The listing gives the location as Austria. It is marked on-site.

What skills does this role ask for?

The listing names: SQL, Regulatory reporting, Data analysis, Data profiling, Data quality management, Data lineage, Databricks, Delta Lake, Functional specifications, Agile, BCBS 239, Risk data, Finance data, Requirement elicitation, User acceptance testing, Data governance.