Bailey Abbott

Information Technology and Services

DataEngineer

A$125–175k ~AI est. Perth, Western Australia, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Bailey Abbott. Skills: Data engineering, Cloud data platforms, Data pipelines, Data modeling. Represent Bailey Abbott as trusted consultant. Apply expertise to deliver outcomes”

What You'll Achieve.

Deliver high-quality outcomes; Deliver value-driven outcomes

Industry & Context.

Information Technology and Services
Problems you'll solve

Problem-solving skills

What They're Looking For.

Must Have

Bachelor's degree or equivalent experience, Demonstrated experience as Data Engineer, Experience with modern cloud-based data platforms, Proficiency in SQL, Experience with Python or Scala, Experience designing and implementing batch and streaming pipelines, Familiarity with governance, cataloguing and lineage practices, Understanding of distributed processing concepts, Experience with CI/CD, version control, automated testing and DevOps/DataOps methodologies, Problem-solving skills, High attention to detail

Nice to Have

Relevant cloud or platform certifications

What You'll Do.

Represent Bailey Abbott as trusted consultant

Apply expertise to deliver outcomes

Design modern data pipelines

Build modern data pipelines

Maintain modern data pipelines

Engineer scalable ingestion solutions

Engineer scalable transformation solutions

Engineer scalable orchestration solutions

Engineer scalable automation solutions

Apply modern data architecture principles

Build semantic layers

Optimize semantic layers

Build analytical datasets

Optimize analytical datasets

Develop solutions for batch workloads

Develop solutions for real-time workloads

Embed governance by design

Write maintainable code

Contribute to CI/CD practices

Contribute to DataOps practices

Contribute to automation practices

Collaborate with analysts

Collaborate with data scientists

Collaborate with architects

Collaborate with stakeholders

Stay current with data engineering approaches

Stay current with data architectures

Stay current with best practices

How You'll Work.

Team & Collaboration

Agile environment; Analysts; Data scientists; Architects; Stakeholders

Process & Methodology

Agile

Full Job Description

**Our Company** We exist to bring amazing people together to explore the art of possible. Bailey Abbott are a progressive and dynamic IT Consultancy business working across both Public and Private sectors. People are at the core of everything we do. We’re all about nurturing and inspiring people – ours and our clients. We bring a positive attitude and mindset to everything we do. We confidently use our knowledge and skills to solve problems, finding a better and easier way forward. We deliver transformational outcomes to take businesses further, fearlessly. Confidence and trust is fundamental to delivering superior outcomes and we take ownership and responsibility for our commitments. **Our People** Our specialist IT Consultants are creative, collaborative, and passionate. We’re strong advocates for change, challenging the status quo through new thinking, technology, and practices. Always exploring creative ways to simplify complexity. As a Consultant with Bailey Abbott, you will have the opportunity to build your project portfolio by gaining exposure and experience working across different clients, industries, technologies, and methodologies, all while having the stability and security of a permanent position. **Our Career Opportunity** Bailey Abbott have an exciting opportunity for a Data Engineer to join our Data Intelligence capability. Our Data Intelligence specialists work within an active community of practice, enabling you to benefit from their years of collective experience and wisdom. _Working as a Data Engineer you will get the opportunity to:_ * Represent Bailey Abbott as a trusted consultant, applying your expertise to deliver high‑quality, value‑driven outcomes for clients * Design, build, and maintain modern data pipelines across cloud‑native and hybrid data ecosystems * Engineer scalable ingestion, transformation, orchestration, and automation solutions using contemporary data engineering frameworks and patterns * Apply modern data architecture princ

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