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Lead ETL Entwickler / Technischer Architekt - Big Data & Kreditrisiko (Databricks)

Erste Asset Management · Fondsverwaltung

Zusammenfassung

Der Lead ETL Entwickler / Technische Architekt ist verantwortlich für die Architektur, das Design, die Entwicklung und die operative Exzellenz von unternehmensweiten Datenplattformen zur Unterstützung von Kreditrisiko und Risikoanalysen. Diese Rolle kombiniert tiefgreifende praktische Erfahrung in der Datenverarbeitung mit technischen Führungsaufgaben und treibt die Bereitstellung skalierbarer, hochleistungsfähiger Datenlösungen unter Verwendung von Databricks, Spark und Cloud-nativen Technologien voran.

Eckdaten

Status
Verfügbar
Standort
Vienna
Vertrag
Vollzeit
Arbeitsmodell
Vor Ort
Startdatum
Vollzeit
Level
Lead
Geforderte Kenntnisse
  • Databricks
  • Apache Spark
  • Delta Lake
  • Datenintegration
  • ETL/ELT Design
  • Datenpipeline-Entwicklung
  • Workflow-Orchestrierung
  • Datenqualitäts-Frameworks
Benefits
  • Home Office
  • Gesundheitszentrum
  • Mitarbeitervorteile
  • Lernen & Entwicklung
  • Mitarbeiterbeteiligungsprogramm
  • Mitarbeiterempfehlungsprogramm
Gehalt
€64.6k/yrDer Betrag steht im Anzeigentext und liegt nicht als strukturierte Angabe vor

Vollständige Beschreibung

Lead ETL Developer / Technical Architect - Big Data & Credit Risk (Databricks) (all humans)

  • Location: Wien
  • Working hours: Full-time
  • Occupational Area: IT
  • Company: Erste Digital

Home Office Health Center

Employee benefits

Learning & Development Employee Share Program

We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.

What to do

The Lead ETL Developer / Technical Architect is responsible for the architecture, design, development, and operational excellence of enterprise-scale data platforms supporting Credit Risk and Risk Analytics within Erste Group – Credit Risk Methods.

This role combines deep hands‑on expertise in data engineering with technical leadership responsibilities, driving the delivery of scalable, high‑performance data solutions using Databricks, Spark, and cloud‑native technologies.

The individual defines technical standards, leads development teams, and works closely with Risk, Data, and Business stakeholders to enable trusted, governed, and analytics‑ready credit risk data.

Technical Architecture & Solution Design

  • Define and own end‑to‑end architecture for Credit Risk data platforms.
  • Design scalable ETL/ELT solutions leveraging Databricks Lakehouse architecture.
  • 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.

ETL & Data Engineering Leadership

  • Lead development of large‑scale ETL/ELT data pipelines across multiple source systems.
  • Design and implement data ingestion frameworks for structured and semi‑structured data.
  • Develop high‑performance Spark and Databricks solutions processing large volumes of 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.

Data Architecture & Modelling

  • 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.

You check these boxes

  • 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 experience in end‑to‑end solution delivery, covering 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, including 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.

Required Technical Skills

Big Data & Data Engineering Databricks Apache Spark Delta Lake Data Integration ETL/ELT Design Data Pipeline Development Workflow Orchestration Data Quality Frameworks Metadata Management

Programming Languages

Python

SQL

Databases SQL Server Oracle PostgreSQL Snowflake Teradata Cloud Platforms Databricks Microsoft Azure (preferred) DevOps & Automation Git Azure DevOps GitHub Jenkins CI/CD Pipelines Terraform

Why you will like us

  • Possibility to benefit and learn from our international, talented and passionate community at Erste
  • Interest groups and clubs: Take part in discussions and get involved in projects.
  • Numerous interest groups invite you to engage with a topic
  • Health Centre – The Erste Campus operates a fully equipped health center that offers all employees a high standard of medical services during working hours.
  • Employee benefits – Benefit from special conditions for financial services and insurances, supermarkets, clothing stores and many more.
  • Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital.
  • A competitive and performance‑related salary dependent on your professional and personal qualifications is granted – the minimum wage for this position in accordance with the respective collective agreement is EUR 64.554,- gross per year. But this is just a formality, we are more than happy to discuss your actual expectations.

The way we are

Erste Group considers the diversity of its employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.

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