Description
ABOUT US
At Moose Toys we exist to make kids superhappy. Recognised as one of the most innovative companies in the industry, we work seriously hard but fun remains at the heart of everything we do. Playful with a Purpose, we live by our values which is why our team members consistently vote us a Great Place To Work. We’ve won awards for our Diversity and Inclusion, and we host inspiring Health & Wellbeing thought leader events live in our magical Moose Melbourne office. We invest heavily in all our learning and development and have a passionate and genuine commitment to our Net Zero sustainability targets.
Please visit our website and LinkedIn Life Page for more information on our amazing people and brands.
View our awesome video on our LinkedIn Life Page https://www.linkedin.com/company/moose-toys/life/6c69e3e6-a410-4d96-82e8-829e6caf38d6/?viewAsMember=true
OUR CULTURE & THE MOOSE MAGIC
At Moose we are Playful with a Purpose. We work hard at Moose but Fun is at the heart of everything we do. Along with a competitive salary and generous performance-based bonuses, some of our other benefits include:
We're a certified Great Place to Work
Flexible hybrid working, Monday & Wednesday WFH and flexi time policy
Daily breakfast bar, fresh fruit and our own veggie garden
Regular social events and celebrations
Onsite fully serviced gym, circuit training & 1:1 PT
Yoga classes, Massages, Skin Checks and Flu Vax throughout the year
Bring Your Pet to Work program.
2 x Wellbeing Days per year
School Holiday programs to support our working parents.
Amazing guest speakers and thought leaders that present live in our amazing offices.
Moose Happy Kids Foundation paid volunteer drives.
On-site EV charging stations
Discounted private health insurance
Free Employee Assistance Program
ABOUT THE ROLE
The Data Engineer is a hands-on role reporting to the Data Analytics Manager, responsible for designing and delivering end-to-end data pipelines across the modern data stack that support analytics and reporting. Working from ingestion through to Power BI, the role partners with global stakeholders to translate business requirements into reliable, well-structured data products.
The role also drives efficiency by leveraging AI tools such as Relevance AI and Anthropic Claude to accelerate development, documentation, and troubleshooting across the data stack.
Responsibilities
Build and maintain ingestion pipelines using Fivetran and Snowflake-native loaders to integrate data from Oracle, SaaS platforms, and external marketplaces into the warehouse
Develop Coalesce.io transformation workflows to model raw data into reliable, performant, and well-documented dimensional layers
Implement data quality controls with Coalesce.io Quality and orchestration to detect schema drift, freshness issues, and anomalies
Manage Snowflake objects (tables, views, schemas, shares), optimising performance while adhering to RBAC and cost-management practices
Create and maintain Power BI dashboards, semantic models, and DAX measures, enabling self-service analytics and delivering key dashboards.
Collaborate with global stakeholders to translate business requirements into scalable data pipelines and analytics solutions
Leverage Relevance AI and Anthropic Claude (API & MCP) to accelerate development, documentation, and troubleshooting
Develop lightweight Streamlit apps and Python utilities to improve access to data assets
Our Tech Stack
Data Platform: Snowflake, Fivetran, Coalesce.io (Transform & Quality), Apache Airflow
Business Intelligence: Power BI (semantic models, DAX, Report Builder), Power BI Service
AI / Agent Platforms: Relevance AI, Anthropic Claude (API & MCP), Claude Code, Snowflake Cortex Code
Languages: SQL, Python (pandas, snowflake-connector-python), DAX, M (Power Query)
Apps & Integration: Streamlit (Snowflake-native), REST APIs, Microsoft 365, Oracle / JDE
Collaboration: Microsoft Teams, Linear, SmartSheet
ABOUT YOU
2+ years’ experience in data, analytics, or BI engineering, delivering production data pipelines
Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake preferred)
Experience with ingestion tools (Fivetran or similar) and transformation tools (Coalesce.io, dbt, etc.)
Proven Power BI expertise, including semantic modelling, DAX, and dashboard/report development
Working knowledge of Python (scripting, APIs, data validation, automation)
Ability to translate non-technical business requirements into data products and reporting solutions
Familiarity with AI/LLMs (prompt engineering, basic agent or RAG patterns)
Strong communication skills across technical and business stakeholders
Desirable Skills & Experience:
Experience with REST APIs and MCP, ERP systems (Oracle/JDE), Snowflake Streamlit/data apps, and cloud data governance, plus exposure to retail/consumer industries or contributions to data/AI projects
ALL WELCOME
Just like our wide range and variety of brands, Moose embraces diversity and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment, regardless of race, colour, religion, sex, sexual orientation, gender identity, age, national origin or on the basis of disability or any other legally protected status. If you require any assistance to be included in our process, please contact
[email protected], quoting the job title.
We move quickly at Moose, so please APPLY TODAY!
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