Data Modeler

Tech Aalto Pte Ltd; Sydney; On-site; AUD 90,000 - 130,000; Full time

Job summary

Tech Aalto Pte Ltd in Sydney is seeking a Data Modeller / Analyst on a contract basis to design, develop, and maintain data models across SVoC data domains, aligned with enterprise standards and analytics needs.

You will work with business analysts, data architects, and engineers to translate requirements, perform profiling and lineage analysis, and support data migration while ensuring governance and regulatory reporting alignment.

Qualifications

• 5-8 years of experience in data modelling and data analysis.
• Strong knowledge of data architecture, data warehousing, and relational design.
• Proficiency with data modelling tools such as ERwin, Sparx EA, and PowerDesigner.
• Hands-on experience in data profiling, data lineage, and metadata management.
• Familiarity with SQL, ETL concepts, and data integration frameworks.
• Understanding of enterprise data governance and regulatory reporting.
• Analytical mindset with excellent attention to detail.

Responsibilities

• Design and maintain conceptual, logical, and physical data models for SVoC data domains.
• Perform data profiling and data lineage analysis to ensure data quality and consistency.
• Collaborate with business analysts, data architects, and engineering to translate requirements into scalable models.
• Support data migration initiatives and ensure compatibility across platforms and environments.
• Document and maintain data definitions, relationships, and metadata for governance.

Skills

Data modelling

Data analysis

Architecture principles

Data warehousing

Relational DB design

Data modelling tools

SQL

ETL concepts

Data integration frameworks

Data profiling

Data lineage

Metadata management

Data governance

Regulatory reporting

Analytical thinking

Education

Bachelor's degree in Computer Science / Information Systems

Tools

ERwin

Sparx EA

PowerDesigner

Job description

Job Title: Data Modeller / Analyst
Location: Sydney
Employment Type: Contract
Role Overview:
We are seeking a skilled Data Modeller / Analyst to design, develop, and maintain conceptual, logical, and physical data models for SVoC data domains. The ideal candidate will possess strong expertise in data modelling, data profiling, and lineage analysis, ensuring the data architecture aligns with enterprise standards and supports analytics, migration, and regulatory reporting initiatives.
Key Responsibilities:

• Design and maintain conceptual, logical, and physical data models for SVoC data domains in alignment with enterprise data architecture principles.
• Perform data profiling and data lineage analysis to ensure data integrity, consistency, and accuracy across systems.
• Collaborate with business analysts, data architects, and engineering teams to translate business requirements into scalable data models.
• Support data migration initiatives and ensure model compatibility across platforms and environments.
• Document and maintain data definitions, relationships, and metadata for enterprise data assets.
• Use industry-standard modelling tools such as ERwin, Sparx Enterprise Architect, or equivalent to develop and maintain data models.
• Ensure compliance with governance, security, and regulatory data management requirements.
• Support analytics and reporting teams with optimised data structures to improve data accessibility and performance.

Required Skills & Experience:

• 5-8 years of experience in data modelling and data analysis.
• Strong knowledge of data architecture principles, data warehousing, and relational database design.
• Proficiency in data modelling tools (e.g., ERwin, Sparx EA, PowerDesigner).
• Hands-on experience in data profiling, data lineage, and metadata management.
• Familiarity with SQL, ETL concepts, and data integration frameworks.
• Understanding of enterprise data governance and regulatory reporting frameworks.
• Strong analytical and problem-solving skills with excellent attention to detail.

Preferred Qualifications:

• Experience working in financial services, regulatory, or data migration programs.
• Exposure to cloud-based data platforms (Azure, AWS, or GCP).
• Bachelor's degree in Computer Science, Information Systems, or related field.