Senior Data Engineer

Job Description

What you’ll do

Reporting to the Manager Data, Analytics and Decision Intelligence, the Senior Data Engineer will be responsible for designing, building, and optimising Thiess’ modern data analytics platform.

You’ll work closely with cloud architects, data scientists, BI teams, and operational stakeholders to deliver robust, scalable Lakehouse solutions that enable trusted, high-quality data for analytics, reporting, and advanced use cases including IoT and equipment health.

You will also play a key role in establishing best-practice data governance, quality, and DevOps standards across the organisation.

Key Responsibilities

Design & develop Lakehouse data pipelines for diverse sources

Optimise existing pipelines across Azure Data Factory, Databricks & Microsoft Fabric

Implement robust incremental loading (CDC, watermarking)

Build & maintain ingestion from supplier/OEM APIs (e.g., Caterpillar, Liebherr, Komatsu)

Develop & maintain dimensional data models for enterprise analytics

Design & advocate for effective enterprise data governance frameworks

Implement data quality controls (completeness, validity, uniqueness, consistency)

Apply best practices in CI/CD, version control, testing & deployment automation

What You’ll Need to Succeed

You are a technically strong, commercially minded data engineer who enjoys working in complex environments and translating business needs into practical, scalable data solutions.

What you’ll bring

5+ years’ experience in data engineering, including data pipelines and cloud-based data platforms

Proven experience designing data engineering solutions and governance frameworks for large organisations

Strong hands-on experience with the Azure data stack, particularly Data Factory and Databricks

High proficiency in Python (PySpark) and SQL, with experience handling relational, streaming and semi-structured data (JSON, XML)

Solid experience working with business intelligence and data science teams to support analytics and machine learning use cases

Strong knowledge of DevOps practices, CI/CD and Agile delivery

Exposure to Power BI and semantic models

Exposure to IoT, equipment health or asset data (highly regarded)

Excellent stakeholder engagement, communication and problem-solving skills

Ability to work semi-autonomously from solution design through to implementation

Relevant tertiary qualifications in Data Engineering, Computer Science, Cloud Engineering or similar are required. Cloud or data engineering certifications (e.g. Azure Data Engineer Associate) are highly desirable.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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