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

22 days ago

Bratislava, SlovakiaStaff+

Responsibilities

Define and own end-to-end architecture for enterprise Credit Risk data platforms.
Design scalable ETL/ELT solutions using Databricks Lakehouse architecture, Spark, and cloud-native technologies.
Lead development of large-scale data ingestion frameworks and pipelines across structured and semi-structured source systems.
Optimize data processing, storage, compute performance, scalability, resilience, and security.
Establish engineering standards, reusable design patterns, coding practices, governance, and technology roadmaps.
Review and approve technical designs, data models, and integration approaches.
Design enterprise data models and implement data layers, ingestion zones, curation processes, and consumption models for Risk Analytics and Credit Risk.
Implement metadata management, data lineage, data quality, governance, and observability frameworks.
Provide technical leadership, mentoring, stakeholder management, delivery oversight, and production issue resolution.
Translate credit risk and analytics requirements into robust technical solutions across Erste Group.

Extensive experience designing and delivering enterprise-scale Databricks Lakehouse solutions and establishing engineering best practices.
Strong data engineering and data modeling expertise, including Data Vault, dimensional modeling, star schemas, canonical data models, and Lakehouse architectures.
Proven end-to-end delivery experience spanning requirements analysis, architecture, development, testing, deployment, productionization, operational support, and continuous improvement.
Experience leading cross-functional teams using Scrum, Kanban, and SAFe.
Demonstrated technical mentoring, solution governance, stakeholder management, and delivery leadership capabilities.
Advanced hands-on expertise with Azure, Databricks, GCP, AWS, and dbt.
Expertise building scalable, resilient, high-performance data platforms for 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 ETL/ELT frameworks with Spark, PySpark, SQL, Delta Lake, and cloud-native services.
Experience with Databricks, Apache Spark, Delta Lake, ETL/ELT design, data pipeline development, workflow orchestration, data quality frameworks, and metadata management.
Programming experience with Python and SQL, and database experience with SQL Server, Oracle, PostgreSQL, Snowflake, and Teradata.
Experience with Git, Azure DevOps, GitHub, Jenkins, and Terraform.

International community of talented and passionate colleagues with interest groups and clubs.
Health-care contribution, above-standard medical examination support, a helpline for difficult life situations, and salary compensation during sick leave.
Work-life benefits including sabbatical, paternity leave, marriage and childbirth contributions, four additional holiday days per year, third-pillar contribution, and a MultiSport card.
Employee Referral Program with rewards for successful IT referrals.
Full-time position with a legally quoted minimum salary of EUR 3,500 gross per month, with actual compensation dependent on qualifications and expectations.