In-Demand Data processing analyst Jobs

Data Engineer
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- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Employee assistance program
Quick Apply
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Data Engineer

Bailey Abbott
Perth WA

Quick Apply

Job Details

Full-time
6 days ago

Benefits

Birthday leave
Employee assistance program

Qualifications

CI/CD
Data modelling
Azure
Test automation
SQL
AWS
Bachelor's degree
Agile
Communication skills

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 principles such as lakehouse designs, layered data models, and domain‑driven data products
Build and optimise data models, semantic layers, and analytical datasets that support business intelligence, analytics, and operational use cases
Develop solutions for both batch and real‑time/streaming data workloads with a focus on reliability, data quality, and observability
Embed “governance by design” including lineage, cataloguing, access control, security, metadata‑driven approaches, and data quality frameworks
Write clean, maintainable, and scalable code across data engineering workloads using modern programming and scripting practices
Contribute to CI/CD, DataOps and automation practices including testing, deployment pipelines, and infrastructure‑as‑code
Collaborate with analysts, data scientists, architects and stakeholders to design data solutions aligned to business needs and strategic outcomes
Stay current with emerging data engineering approaches, architectures and best practices in the rapidly evolving data ecosystem

Requirements

Bachelor's degree in a related field or equivalent experience
Demonstrated experience as a Data Engineer or in a similar role
Experience working with modern cloud‑based data platforms such as Fabric, Azure, Snowflake, AWS, Databricks or equivalent ecosystems
Strong proficiency in SQL and experience with Python, Scala, etc for data engineering workloads
Experience designing and implementing batch and streaming pipelines within modern data architectures
Familiarity with governance, cataloguing and lineage practices using contemporary governance frameworks and tools
Understanding of distributed processing concepts and lakehouse or similar architectural patterns
Experience with CI/CD, version control, automated testing and DevOps/DataOps methodologies
Strong problem‑solving skills and high attention to detail
Excellent communication and collaboration skills in an Agile environment
Relevant cloud or platform certifications are highly desirable

Benefits

Paid Birthday Leave
Access to Employee Assistance Program
Flexible Working Options
Novated Leasing
Regular team gatherings including monthly team lunch
Professional development opportunities and continuous learning
Financial benefits through Discount Store

Our clients are diverse and so are we. We engage with great talent from all walks of life to bring their extensive and varied experience to help promote innovation. We encourage applications from candidates from all backgrounds to further strengthen Bailey Abbott.

Bailey Abbott. Explore Possible.

Quick Apply

Refine Your Search

data processing analyst jobs

Data Engineer

Minor Safety Analyst

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Data Engineer

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