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Senior Data Engineer

CleanCo Queensland
Brisbane QLD

Job Details

Benefits

Salary packaging
Insurance services

Qualifications

Data modelling
Azure
Azure Data Lake
Data pipeline
Analytics

Full Job Description

Senior Data Engineer

2 Jun 2026

Location: Brisbane, QLD, AU

Custom Field 1:

Who we are

CleanCo is a low-emission energy retailer, generator and developer backed by the Queensland Government. We are powering Queensland’s transition to a net zero future through our renewable and firming portfolio.

Our diverse and capable team works together to deliver reliable energy solutions for communities and industry across Queensland.

We are recognised as Employer of Choice by Work180. We welcome applications from women, neurodivergent individuals, people with disability, First Nations people, LGBTQIA+ individuals and those from culturally diverse backgrounds. Adjustments to the recruitment process are available on request.

What you'll contribute to:

As a Senior Data Engineer, you will play a hands‑on technical leadership role in building, operating and uplifting CleanCo’s enterprise data platform.

You’ll focus on accelerating data onboarding, improving pipeline reliability, and ensuring data is secure, well‑governed and ready for analytics, reporting and machine learning.

In this role you will

Own and continuously improve the enterprise data onboarding and ingestion framework
Design, build and operate scalable data pipelines across batch and near real‑time use cases
Support a single source of truth by implementing consistent data modelling and medallion architecture patterns
Translate business rules into reliable, production‑ready data pipelines
Work closely with Insights Developers and Machine Learning Engineers to enable downstream use cases
Partner with Security and Governance teams to embed appropriate controls and standards
Review and uplift the quality of work delivered by project‑based data engineers

Your work will directly enable faster access to trusted data and improve decision making across CleanCo.

On your first day you will have:

Strong experience building and operating enterprise‑scale data pipelines
Hands‑on expertise with Azure data services such as Azure Data Lake, Synapse, Fabric and Data Factory
Solid Python and Spark skills for data engineering and automation
Practical experience with dimensional data modelling and analytics‑ready datasets
Ability to translate business needs into clear data and pipeline designs
Experience working in enterprise environments with governance, security and quality expectations

What you will find here:

The opportunity to contribute to Queensland’s clean energy future and see the real-world impact of your work
A supportive environment that embraces change and encourages continuous learning
Space to take ownership, backed by trust and accountability
Open, respectful communication where diverse perspectives are valued
A collaborative culture focused on shared success and meaningful outcomes

What we offer you

At CleanCo, you don’t just contribute to Queensland’s energy future - you’re supported to power your own.

Our benefits support balance, wellbeing and career development at every stage of life, including:

Genuine flexible work options via our hybrid working model.
A progressive and inclusive culture where people feel safe, connected and seen.
Option to purchase additional leave.
Discounted health insurance, Fitness Passport, and health programs.
Salary sacrificing options.
Wellbeing support through various support groups such as Mates in Energy.

What happens next?

We'd love to hear from you sooner rather than later. Applications close on June 26th, but we sometimes find our person before then.

Our Talent team reviews every application and if we think you could be a great fit, we'll be in touch for a friendly chat. If things click, we'll move you through to interviews from there!

Even if we are not currently advertising the position that you are looking for today, we may be tomorrow. Keep up-to-date with new opportunities as they happen by following us on LinkedIn or registering for our Talent Community via our careers page.

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Senior Data Engineer

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