Data & Analytics Engineer

Icon Construction

Melbourne

On-site

AUD 95,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Access to EAP
Market competitive Salary
Excellent Leave Polices
Collaborative culture
Sporting and Social events
Professional Memberships
Discounts on Travel, Retail and Health

Job summary

Icon Group is seeking an experienced Data & Analytics Engineer in Melbourne to drive the next phase of our data capability. You will own data pipelines, warehousing, and reporting while collaborating across the business to deliver practical data solutions.

You’ll work hands-on with ETL, SQL, Power BI, and Microsoft Fabric, shaping how data supports smarter decisions. This role offers autonomy and a tangible impact across a diverse Group.

Qualifications

  • HHands-on data engineering and warehousing experience across modern data platforms.
  • Strong SQL skills and data modelling background.
  • Experience building scalable data pipelines and ETL processes.
  • Ability to translate business requirements into technical solutions.
  • Experience with Power BI and data visualization.

Responsibilities

  • Design, build and maintain robust data pipelines and ETL processes.
  • Support the ongoing development and optimisation of our data warehouse and broader data environment.
  • Develop scalable data solutions that improve data quality, accessibility and reliability.
  • Build reporting, dashboards and analytics solutions using Power BI.
  • Contribute to the continued development of our Microsoft Fabric environment
  • Work with stakeholders across the business to understand requirements and translate them into effective technical solutions.
  • Identify opportunities to improve processes through automation, AI and emerging technologies.
  • Build on our existing data foundations while bringing your own ideas and technical expertise to the role.
  • Work across a diverse Group environment with exposure to a broad range of business and operational data.

Skills

Data engineering
Data warehousing
SQL
Power BI
Microsoft Fabric
Snowflake
Stakeholder communication

Tools

Power BI
Microsoft Fabric
Snowflake
ETL tools

Job description

Why Icon?

This is an opportunity to join Icon at an exciting stage in the development of our data capability.

You’ll have the opportunity to work across a broad technology landscape rather than being limited to one component of the data environment, with exposure across data engineering, warehousing, Power BI, Microsoft Fabric, AI and automation.

Most importantly, you’ll have the autonomy to take ownership of your work, build on what’s already been established and make a genuine impact on how data is used across the Group.

The Opportunity

We’re looking for an experienced, hands on Data & Analytics Engineer to join Icon Group and play an important role in the continued development of our data and analytics capability.

This is an opportunity for someone who enjoys being close to the technology, solving problems and turning complex data into practical solutions that support better business decisions.

Initially, your focus will be on data engineering and data warehousing, building and improving data pipelines, ETL processes and the foundations that underpin our reporting and analytics environment. You’ll also work across Power BI, Microsoft Fabric, AI and automation, giving you the opportunity to contribute to how our broader data capability evolves.

You’ll join an environment where strong foundations have already been established, with the opportunity to take what’s been built and continue driving it forward.

What You’ll Be Doing
  • Design, build and maintain robust data pipelines and ETL processes.
  • Support the ongoing development and optimisation of our data warehouse and broader data environment.
  • Develop scalable data solutions that improve data quality, accessibility and reliability.
  • Build reporting, dashboards and analytics solutions using Power BI.
  • Contribute to the continued development of our Microsoft Fabric environment
  • Work with stakeholders across the business to understand requirements and translate them into effective technical solutions.
  • Identify opportunities to improve processes through automation, AI and emerging technologies.
  • Build on our existing data foundations while bringing your own ideas and technical expertise to the role.
  • Work across a diverse Group environment with exposure to a broad range of business and operational data.
About You

You’re a practical and technically capable data professional who enjoys being hands on. You’re comfortable taking ownership, working through problems and delivering solutions rather than operating solely at a strategic or architectural level.

You’ll ideally bring:
  • Strong hands on experience in data engineering and data warehousing.
  • Practical experience developing data pipelines and ETL processes.
  • Strong knowledge of SQL and modern data platforms.
  • Experience with Power BI and data visualisation.
  • Experience with Microsoft Fabric and/or Snowflake.
  • A solid understanding of data modelling, data quality and scalable data solutions.
  • The ability to work independently and take ownership of technical outcomes.
  • Strong problem solving skills with a practical, delivery focused mindset.
  • The ability to communicate effectively with both technical and non technical stakeholders.

Experience within construction or another project based environment would be advantageous, however we're open to candidates from a range of industries who bring strong technical foundations and a hands on approach.

Benefits and perks:
  • Access to our EAP (Employee Assistance Program)
  • Market competitive Salary and excellent working environment
  • Excellent Leave Polices that include purchased Annual Leave, Work Life Balance Days, Community Days and generous Parental Leave scheme
  • Collaborative and values-based workplace culture
  • Sporting and Social events
  • Professional Memberships
  • Discounts on Travel, Retail and Health

**Aboriginal, Torres Strait Islanders and veterans are encouraged to apply**

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