EL1 Data Modeller

Talent International; City of Melbourne; On-site; AUD 110,000 - 150,000; Full time

Job summary

Talent International is seeking an EL1 Data Modeller to lead enterprise data modeling initiatives, shape data architecture, and collaborate with key stakeholders in a data-driven environment. The role focuses on transforming raw data into insights and delivering high-quality data solutions across conceptual, logical, and physical layers.

The ideal candidate will have strong SQL skills, experience with major data warehouses, and familiarity with DevOps practices to support continuous improvement

Qualifications

• Experience developing, auditing and reviewing SQL in enterprise data warehouses (MS SQL/Teradata/Snowflake/Redshift/Databricks).
• Understanding of DevOps processes and use of DevOps tools.
• Strong programming skills in Python, SAS, R or Java.
• Knowledge of version control and best practices.
• Strong SQL skills and reverse-engineering end-user SQL.

Responsibilities

• Lead and perform enterprise data modeling across conceptual, logical, and physical layers for EDW core and access layers.
• Manage data dictionary activities and set standards for peer review and data modeling release.
• Develop, review, and maintain SQL analytical and ETL code, ensuring data quality and integrity.
• Collaborate with data consumers, developers, and IT teams to deliver innovative data solutions.
• Facilitate continuous improvement initiatives, providing training and knowledge transfer sessions on best practices.
• Assist in developing consumable reports and analytics to address key risks and emerging trends, supporting project development.

Skills

Data modeling

SQL

Python

DevOps awareness

Data governance

Education

Relevant tertiary qualification in mathematics, statistics, computer science, or related field

Tools

MS SQL

Teradata

Snowflake

Redshift

Databricks

AWS Glue

Job description

Join Our Team as an EL1 Data Modeller and Shape the Future of Data Excellence!

Are you passionate about transforming raw data into powerful insights? Do you have a knack for designing sophisticated data models that drive strategic decision-making? We are seeking a talented Data Modeller to lead enterprise data modeling initiatives, shape data architecture, and collaborate with key stakeholders within a dynamic organization. This critical role offers the opportunity to work on impactful projects in a forward-thinking environment dedicated to data-driven success.

What You'll Do:

• Lead and perform enterprise data modeling across conceptual, logical, and physical layers for EDW core and access layers.
• Manage data dictionary activities and set standards for peer review and data modeling release.
• Develop, review, and maintain SQL analytical and ETL code, ensuring data quality and integrity.
• Collaborate with data consumers, developers, and IT teams to deliver innovative data solutions.
• Facilitate continuous improvement initiatives, providing training and knowledge transfer sessions on best practices.
• Assist in developing consumable reports and analytics to address key risks and emerging trends, supporting project development.

Required Skills:

• Demonstrated competency in developing, auditing and reviewing code in a minimum of 2 of the following data warehouses: MS SQL / Teradata /Snowflake / Redshift / Databricks.
• Ability to understand DevOps process and can use DevOps tools in accordance with the process
• High level of competency in programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java
• Ability to demonstrate knowledge of version controls and its appropriate uses
• Strong expertise with SQL, including experience with reverse-engineering end user SQL code

Nice to Have Skills:

• Minimum of 4 years in a similar role, with exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment
• Competency with required systems, software and programs, including SAS and Excel
• Ability to read and interpret data models and specifications, experience working in an agile environment
• Tertiary qualifications in mathematics, statistical, computer sciences discipline or more than three years relevant work experience

Other Requirements:

• Australian citizenship and valid evidence of this will be required.
• Baseline security clearance is preferred as you need to be able to obtain Negative Vetting Level 1

Take the next step in your career and make a meaningful impact by supporting organizational data initiatives.