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

Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself

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 Care – Taking care of your health is important. That’s why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave

• Work-Life-Balance – Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family

• 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 - we are obliged by law to quote the minimum wage of EUR 3.500,- gross per month for this full time position. 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.