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:
- Elicit and document data requirements with Regulatory, Risk and Finance stakeholders for direct implementation in Databricks.
- Profile and analyse source systems (MS SQL Server, Delta Lake) to detect gaps, inconsistencies and root causes.
- Produce functional specifications: source-to-target mappings, business rules, data dictionaries and lineage diagrams.
- Define and manage data contracts and business DQIs; design technical checks and monitor DQ results.
- Design and run test plans and reconciliations, support UAT and validate migrations from legacy processes to automated Databricks deliveries.
- Contribute to BCBS 239 and ECB RDARR implementation, audit documentation and cross-team agile delivery.

Requirements:
- Several years’ experience with regulatory, risk or finance reporting in a banking environment (e.g., FINREP/COREP).
- Very strong SQL skills for profiling, reconciliation and complex data analysis.
- Proven ability to create clear functional specifications and source-to-target mappings.
- Solid understanding of data quality management, lineage and DQ KPIs (accuracy, completeness, timeliness).
- Experience designing test cases, validating datasets and running user acceptance tests.
- Familiarity with BCBS 239, data ownership concepts and agile team collaboration; fluent German and English.
- Nice to have: hands-on Databricks experience 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 ensuring regulatory data accuracy, managing data quality indicators, and supporting the migration of reporting datasets to Databricks.

Requirements

Candidates must have several years of experience in regulatory reporting, risk, or finance data within the banking sector. Strong SQL skills, experience with functional specifications, and knowledge of data governance principles 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 engineering — in 120 other listings on The Stack
• Databricks — in 46 other listings on The Stack
• Data quality management — in 3 other listings on The Stack
• Data lineage — in 14 other listings on The Stack
• Functional specifications — in 3 other listings on The Stack
• BCBS 239
• Risk data
• Finance data
• Agile
• Python
• PySpark
• Data modelling
• 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 engineering, Databricks, Data quality management, Data lineage, Functional specifications, BCBS 239, Risk data, Finance data, Agile, Python, PySpark, Data modelling, Data governance.