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Data Engineer & Data Analyst

Raiffeisen Bank International · Bank

Zusammenfassung

Entwicklung und Wartung skalierbarer Datenpipelines für die Verarbeitung großer Datenmengen sowie Aufbau und Pflege von Data Warehouse-Lösungen. Integration und Transformation von Daten aus verschiedenen Quellen zur Unterstützung regulatorischer Anforderungen und zur Sicherstellung der Datenqualität.

Eckdaten

Status
Verfügbar
Standort
Wien
Arbeitsmodell
Hybrid
Startdatum
Ab sofort
Sprachen (erforderlich)
  • EnglischVerhandlungssicher
Geforderte Kenntnisse
  • Python
  • SQL
  • Databricks
  • ETL/ELT
  • Delta Live Tables
  • dbt
  • Autoloader
  • Unity Catalog
  • Github
  • CI/CD
  • MS SQL Server
  • PostgreSQL
  • DB2
  • AWS
Benefits
  • flexible working hours
  • hybrid working options / work from home
  • remote work
  • work permit support
  • modern tools & technologies
  • multi‑cultural teams
  • English as company language
  • team building events
  • Canteen
  • vouchers / discounts from our staffs' council
  • free public transport pass
  • salary account & credit card
  • gender‑neutral parental leave
  • bilingual company kindergarten
Gehalt
€4.1k/moDer Betrag steht im Anzeigentext und liegt nicht als strukturierte Angabe vor

Vollständige Beschreibung

Data Engineer & Data Analyst (f/m/x)

Your mission

Development and maintenance of scalable and robust data pipelines for processing large and heterogeneous data volumes (Regulatory Reporting & Data Warehouse). Building and maintaining Data Warehouse solutions (on-premises in MS SQL Server and cloud-based with Delta Lake/Databricks on AWS). Integration and transformation of data from various sources (APIs, databases, external systems) into standardized and high-quality data products.

Support in implementing regulatory requirements (e.g. BCBS 239, ECB RDARR Guide), including automation, testing, and validation. Participation in the introduction and integration of cloud- and microservices-based data platforms.

Ensuring data quality, governance, and end-to-end data lineage in close collaboration with data owners, analysts, and other stakeholders. Active contribution to architectural and process decisions in the data engineering environment.

Your core competencies

Several years of hands‑on experience in development with Python and SQL and willingness to improve skills in this technology based on ongoing tasks utilizing Databricks.

Knowledge of ETL/ELT processes (e.g. Delta Live Tables, dbt, Autoloader or ingestion workflows), data modeling (e.g. Unity Catalog or similar tools), database design, and understanding of best practices for ensuring data quality (e.g. monitoring technical KPIs like accuracy, completeness, timeliness). Version control system knowledge (e.g. Github) Understanding of CI/CD processes and willingness to apply them in practice.

Experience with relational and NoSQL databases (e.g. MS SQL Server, PostgreSQL, DB2). Enthusiasm for teamwork and a proactive approach to contributing to the execution of data strategies (e.g., implementing BCBS239 principles). Experience in developing and running data pipelines on modern cloud-based data processing platforms.

What's in it for you

  • Work Life Balance: flexible working hours, hybrid working options / work from home (60% max.), 30 days / year remote work
  • Easy Moving: work permit support
  • Top‑Notch Equipment: modern tools & technologies
  • International Spirit: multi‑cultural teams, English as company language, team building events
  • Learning & Agile Working: as part of our DNA & culture
  • Canteen: healthy, tasty, and heavily subsidized
  • Saving: with vouchers / discounts from our staffs' council (eg. supermarket)
  • Further Goodies: free public transport pass, salary account & credit card, gender‑neutral parental leave, bilingual company kindergarten etc.

Salary

In accordance with Austrian legal requirements, the minimum salary for this position is EUR 4.061,00 gross per month under the applicable IT Collective Agreement. The actual salary is typically higher and will be determined individually based on your qualifications, professional experience, and the specific requirements of the role.

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