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Lead ETL Developer / Technical Architect

New

Job

  • Level
    Lead
  • Location
    Vienna
  • Working Model
    Onsite
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 64.554 € gross/year

Job Summary

In this role, you will develop robust ETL/ELT solutions and design data platform architecture to efficiently process and analyze credit risk-related data.

Job Technologies

Your role in the team

  • 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.
  • Diese Rolle verbindet tiefgehende praktische Expertise im Data Engineering mit technischen Führungsverantwortlichkeiten und treibt die Bereitstellung skalierbarer, leistungsstarker Data-Lösungen unter Einsatz von Databricks, Spark und cloud-nativen Technologien voran.
  • 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.
  • 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.
  • Führen Sie Technologie-Roadmaps und Modernisierungsinitiativen voran.
  • Ensure solutions meet performance, scalability, resilience, and security requirements.
  • 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.
  • 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.
  • Implementieren Sie Frameworks für Metadatenmanagement und Data Lineage.

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Our expectations of you

Qualifications

  • Strong Data Engineering and Data Modelling expertise, including Data Vault, Dimensional Modelling, Star Schemas, Canonical Data Models, and Lakehouse architectures.
  • 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.
  • Starkes Verständnis von Datenqualität, Datenherkunft, Metadatenmanagement, Data Governance und Plattform-Observability.
  • Proven ability to bridge business and technology teams, translating complex credit risk and analytics requirements into robust technical solutions across Erste Group.

Experience

  • Databricks Champion with extensive experience designing and delivering enterprise-scale Lakehouse solutions and establishing engineering best practices.
  • 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.
  • Extensive experience designing and optimizing large-scale ETL/ELT frameworks using Spark, PySpark, SQL, Delta Lake, and cloud-native services.

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What we offer

  • Möglichkeit, von unserer internationalen, talentierten und leidenschaftlichen Gemeinschaft bei Erste zu profitieren und zu lernen.
  • 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.

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Benefits

Higher Take-Home Pay

Work-Life-Integration

Food & Drink

Health, Fitness & Fun

Topics You Will Work On

Job Locations

  • Location Vienna

    Austria

About Your Employer

Erste Bank

Erste Bank

Wien

The Erste Bank forms together with the savings banks one of the largest banking groups in Austria.

Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance

Employer reviews

by devworkplaces.com

Total

(4 Reviews)
4.0
  • Engineering

    3.5
  • Workingconditions

    4.0
  • Career Growth

    4.1
  • Culture

    4.3
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Logo Erste Bank

Lead ETL Developer / Technical Architect

Salary
from 64.554 € gross/yearEstimated net salary based on the gross salary in the job ad.from 43.528 € net/year
Location
Vienna
Working Model
Onsite
Diversity
Open for all genders
English Only
English only required

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