Sr. Analytics Engineer

Eftsure; North Sydney Council; On-site; AUD 130,000 - 180,000; Full time

Job summary

Eftsure is seeking a Senior Analytics Engineer to design, build and maintain scalable data models that transform raw and staged data into analytics-ready datasets. You’ll partner with multiple teams to translate business challenges into data solutions and enable self-service analytics through semantic layers and dashboards.

You will define analytics engineering standards, mentor colleagues, and contribute to the evolution of our data roadmap, while staying current with industry practices and

Qualifications

• 5+ years experience in Analytics Engineering, Data Analytics, Data Engineering or a similar role.
• Strong hands-on experience with dbt in production environments.
• Advanced SQL skills, including complex transformations, optimisation and data modelling.
• Deep understanding of dimensional modelling, medallion architectures and semantic layer design.
• Experience with modern cloud data platforms such as Snowflake or ClickHouse.
• Experience building business-facing analytics and reporting solutions using tools such as Metabase, Power BI or similar BI platforms.
• Working proficiency in Python for data-related development.
• Experience with Git-based workflows and CI/CD practices.
• Comfortable working in UNIX/Linux environments.
• Experience leveraging AI-assisted development tools to improve productivity and quality.

Responsibilities

• Own analytics engineering layer and maintain scalable data models.
• Partner with Product, Customer, Finance, Marketing, Operations and Leadership to translate business challenges into data solutions.
• Enable self-service analytics with semantic layers, dashboards and reporting solutions.
• Raise the engineering bar by defining standards, mentoring and governance across modelling, testing and documentation.
• Stay current with emerging tools and contribute to the data roadmap.

Skills

5+ years analytics

dbt in production

Advanced SQL

Dimensional modelling

Medallion architecture

Semantic layer design

Snowflake/ClickHouse

Power BI

Python

Git workflows

UNIX/Linux

AI-assisted development

Tools

dbt

Snowflake

ClickHouse

Metabase

Power BI

Python

Git

CI/CD

Unix/Linux

Airflow

Job description

What you'll do

Own our analytics engineering layer

You'll design, build and maintain scalable data models that transform raw and staged data into trusted, analytics-ready datasets. Working across our silver and gold layers, you'll create clean, reliable and well-documented data assets that become the foundation for reporting, analytics and decision-making.

Partner with the business

You'll work closely with teams across Product, Customer, Finance, Marketing, Operations and Leadership to understand business challenges and translate them into meaningful data solutions. You'll challenge assumptions, shape requirements, and ensure business logic is applied consistently across the organisation.

Enable self-service analytics

You'll build and support semantic layers, dashboards and reporting solutions that empower teams to answer their own questions. You'll help establish trusted metrics, improve data literacy, and create a culture where people can confidently use data to make decisions.

Raise the engineering bar

As a senior member of the team, you'll define analytics engineering standards and best practices across modelling, testing, documentation and governance. You'll mentor colleagues, review work, and help grow analytics engineering capability across Eftsure.

You'll stay current with emerging tools, technologies and industry practices, bringing new ideas and approaches into our platform. You'll evaluate opportunities, prototype solutions and contribute to the evolution of our data roadmap.

What you'll bring

Technical expertise

• 5+ years' experience in Analytics Engineering, Data Analytics, Data Engineering or a similar role
• Strong hands‑on experience with dbt in production environments
• Advanced SQL skills, including complex transformations, optimisation and data modelling
• Deep understanding of dimensional modelling, medallion architectures and semantic layer design
• Experience working with modern cloud data platforms such as Snowflake or ClickHouse
• Experience building business-facing analytics and reporting solutions using tools such as Metabase, Power BI or similar BI platforms
• Working proficiency in Python for data-related development
• Experience with Git-based workflows and CI/CD practices
• Comfortable working in UNIX/Linux environments
• Experience leveraging AI-assisted development tools to improve productivity and quality

Nice to have

• Experience with AWS or other cloud‑native data services
• Familiarity with orchestration tools such as Apache Airflow

What makes you successful

• You combine strong technical skills with commercial thinking
• You enjoy partnering with stakeholders and solving real business problems
• You can communicate complex concepts clearly to both technical and non-technical audiences
• You take ownership, work autonomously, and thrive in fast-moving environments
• You enjoy mentoring others and helping elevate the capability of the team around you
• You're curious, proactive and continuously looking for better ways of working

Why Eftsure?

At Eftsure, you'll join a collaborative and ambitious team that's building solutions to solve real-world problems for businesses globally.

You’ll have the opportunity to:

• Own and shape a critical part of our data platform
• Work with modern data technologies and engineering practices
• Partner with teams across Australia, North America and Europe
• Influence how data is used across the organisation
• Learn, grow and make a measurable impact in a rapidly scaling technology company

If you're excited about building trusted data foundations, enabling better decision-making, and helping shape the future of analytics at Eftsure, we'd love to hear from you.