Contract Senior Data Engineer - Redshift & Injury Reporting

Carecone Group; Melbourne; Ibrido; AUD 110.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

4-day in-office hybrid arrangement

Melbourne office access

Descrizione del lavoro

Carecone Group is looking for an experienced Data Engineer to join on a 12‑month fixed‑term contract in Melbourne. The role focuses on building scalable data pipelines, transforming data with dbt on Snowflake, and delivering Power BI analytics for informed decision‑making.

You will work in a hybrid setup (4 days in office), collaborating with IT and business units to optimise data assets and governance. Competitive AUD 110k–130k package including super.

Competenze

• 2–4 years of hands‑on data engineering experience in an enterprise environment.
• Experience with Snowflake architecture, performance tuning, and cost control.
• Hands‑on experience with dbt (Cloud/Core), Jinja, and Fivetran.
• Advanced SQL and Python skills, alongside experience with Azure DevOps for data workflows.
• In‑depth knowledge of Kimball/Inmon medallion architecture concepts.

Mansioni

• Data Engineering & Orchestration: Build reusable, scalable ETL/ELT pipelines for structured, semi‑structured, and unstructured data using tools like Fivetran and Airflow.
• Data Transformation & Modelling: Design and maintain complex dbt models in Snowflake using medallion architecture (Kimball/Inmon) and implement rigorous data quality testing.
• Data Visualisation: Develop and optimise Power BI semantic models, DAX measures, and interactive reports; manage Power BI Service environments, workspace administration, and Row‑Level Security (RLS).
• CI/CD & DevOps: Build and support automated deployment pipelines using Azure DevOps and Git across Dev, UAT, and Production environments.
• Stakeholder Management & Collaboration: Partner with data analysts and business leads to translate requirements into technical specs, manage project status, and solve operational data issues.
• Continuous Improvement: Proactively identify cost and compute optimisations across cloud setups, establish standard documentation, and participate in peer code reviews.

Conoscenze

Data engineering

SQL

Python

ETL/ELT

Power BI

CI/CD

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Snowflake

dbt

Fivetran

Airflow

Power BI Service

Power Query

DAX

Azure DevOps

Git

Jinja

Descrizione del lavoro

• 12-Month Fixed-Term Contract (Potential to extend)
• Hybrid (4 days in office)
• $110,000 – $130,000 package (including super)

About the Opportunity

We are one of Australia’s most recognised healthy food chains, dedicated to positively impacting the lives of our people and communities. We are looking for an experienced Data Engineer to join our team on a 12-month fixed-term contract.

In this role, you will be central to enabling data-driven decision‑making across the business. You will design, build, and maintain scalable data pipelines and modern analytics infrastructure, working closely with stakeholders across IT and business units to deliver high‑performing data solutions.

Key Responsibilities

• Data Engineering & Orchestration: Build reusable, scalable ETL/ELT pipelines for structured, semi‑structured, and unstructured data using tools like Fivetran and Airflow.
• Data Transformation & Modelling: Design and maintain complex dbt models in Snowflake using medallion architecture (Kimball/Inmon) and implement rigorous data quality testing.
• Data Visualisation: Develop and optimise Power BI semantic models, DAX measures, and interactive reports; manage Power BI Service environments, workspace administration, and Row‑Level Security (RLS).
• CI/CD & DevOps: Build and support automated deployment pipelines using Azure DevOps and Git across Dev, UAT, and Production environments.
• Stakeholder Management & Collaboration: Partner with data analysts and business leads to translate requirements into technical specs, manage project status, and solve operational data issues.
• Continuous Improvement: Proactively identify cost and compute optimisations across cloud setups, establish standard documentation, and participate in peer code reviews.

What We’re Looking For

• Experience: 2–4 years of hands‑on data engineering experience in an enterprise environment.
• Core Tech Stack:
• Data Warehouse: Strong proficiency with Snowflake (architecture, performance tuning, cost control).
• Transformation & Ingestion: Hands‑on experience with dbt (Cloud/Core), Jinja, and Fivetran.
• BI & Analytics: Advanced Power BI, Power Query, M, and DAX skills with Git deployment workflows.
• Languages & CI/CD: Advanced SQL and Python skills, alongside experience with Azure DevOps for data workflows.
• Data Modelling: In‑depth knowledge of Kimball/Inmon methodologies and medallion architecture concepts.
• Soft Skills: Excellent communication and stakeholder engagement skills, with a collaborative, customer‑focused approach to solving complex problems.

Why Join Us?

• Play a key role in modernising our data capability in a collaborative, supportive culture.
• Dynamic work environment with high visibility across major business projects.
• Convenient Melbourne office setup with a structured 4‑day in‑office hybrid arrangement.
• $110,000 – $130,000 package (including super)