Dein persönlicher KI-Karriere-Agent
Lead ETL Developer / Technical Architect - Big Data & Credit Risk (m/w/x)
Designing scalable ETL/ELT solutions on Databricks Lakehouse for credit risk data platforms. Databricks Champion with extensive Lakehouse architecture and data modelling expertise required. Special conditions for financial services and insurance.
Deine Match-Analyse
Warum dieser Job zu dir passt
Mögliche Lücken
Tipps für deine Bewerbung
Anforderungen
- Databricks Champion with extensive experience designing and delivering enterprise-scale Lakehouse solutions and establishing engineering best practices.
- Strong Data Engineering and Data Modelling expertise, including Data Vault, Dimensional Modelling, Star Schemas, Canonical Data Models, and Lakehouse architectures.
- Proven end-to-end solution delivery experience: requirements analysis, architecture, development, testing, deployment, productionisation, operational support, and continuous improvement.
- Strong Agile practitioner with experience leading cross-functional teams using Scrum, Kanban, and SAFe methodologies.
- Demonstrated Team Leadership capabilities: technical mentoring, solution governance, stakeholder management, and delivery leadership.
- Advanced hands-on expertise across Azure, Databricks, GCP, AWS, and dbt.
- Expert in building scalable, resilient, and highly performant data platforms supporting Credit Risk Analytics and Enterprise Data initiatives.
- Strong understanding of data quality, data lineage, metadata management, data governance, and platform observability.
- Extensive experience designing and optimizing large-scale ETL/ELT frameworks using Spark, PySpark, SQL, Delta Lake, and cloud-native services.
- Proven ability to bridge business and technology teams, translating complex credit risk and analytics requirements into robust technical solutions across Erste Group.
Aufgaben
- Define and own end-to-end architecture for Credit Risk data platforms
- Design scalable ETL/ELT solutions using Databricks Lakehouse
- Establish architectural standards, frameworks, and reusable design patterns
- Review and approve technical designs, data models, and integration approaches
- Drive technology roadmaps and modernization initiatives
- Ensure solutions meet performance, scalability, resilience, and security requirements
- Lead development of large-scale ETL/ELT data pipelines from multiple sources
- Design and implement data ingestion frameworks for structured and semi-structured data
- Develop high-performance Spark and Databricks solutions for banking risk data
- Optimize data processing, storage, and compute performance
- Establish development standards, coding practices, and engineering governance
- Provide technical leadership and oversight throughout the software delivery lifecycle
- Support production issue resolution and root cause analysis
- Design enterprise data models for Risk Analytics and Credit Risk domains
- Implement Lakehouse architectures using Databricks and Delta Lake
- Define data layers, ingestion zones, curation processes, and consumption models
- Implement metadata management and data lineage frameworks
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Interest groups and clubs
- Special conditions for supermarkets
- Special conditions for clothing stores
- Health Centre
- Special conditions for financial services and insurances
- Employee Referral Program
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Erste Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Erste GroupÜber das Unternehmen
The company is one of the largest banking groups in Central and Eastern Europe, offering diverse career opportunities.
Nejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.