It's not often you get the opportunity to design and build great technology while making a genuinely positive difference in the world.

Our client is a purpose-driven organisation undergoing significant growth in their data and analytics capability. They are seeking a Data Analytics Engineer to join a high-calibre team of analytics specialists and play a key role in building and optimising modern data platforms that support critical products and data initiatives.

This role is ideal for someone who enjoys working end-to-end - from data ingestion and modelling through to analytics, reporting and machine learning - and who is excited by the challenge of building scalable, high-quality data systems from the ground up.

As a Data Analytics Engineer, you will be responsible for expanding and optimising data and pipeline architecture, ensuring complex datasets are structured, accurate and actionable. You will work closely with cross-functional teams to enable trusted, self-service analytics and data-driven decision making across the organisation.

• Implement data ingestion processes and maintain streamlined, reliable data pipelines

• Construct complex data transformations and deliver Power BI reports from clean and presentation data layers

• Model and transform raw data to support analytics and empower end users

• Execute analytical experiments to solve problems across multiple domains

• Design, develop and deploy machine learning models to address business challenges

• Partner with business stakeholders to understand requirements and translate them into data solutions and reports

• Analyse data for trends and patterns with clear objectives in mind

• Maintain schema, metadata and data documentation

• Provide training to stakeholders on data exploration, visualisation and report usage

• Collaborate with a team of data and analytics experts to continuously improve data systems

To succeed in this role, you will bring:

• 5+ years' experience in a Data Analytics Engineer (or similar) role

• Advanced SQL skills and experience working with relational databases

• Strong experience designing and optimising data pipelines, architectures and datasets

• Proven capability in data modelling and transformation

• Excellent analytical and problem-solving skills, including root cause analysis

• Experience working with structured and unstructured datasets

• Strong written and verbal communication skills

• High attention to detail and strong organisational skills

• Experience working in cross-functional, fast-moving environments

Technical experience across some or all of the following:

• SQL platforms: MS SQL, Snowflake, Postgres

• Azure Analysis Services (Tabular models) and Power BI

• Data pipeline and workflow tools: dbt, Airflow, Fivetran, Luigi, Azkaban

• Python or similar scripting languages

• Machine learning toolsets such as Snowpark Python or Jupyter Notebook

• Working knowledge of Agile / Scrum methodologies

A graduate degree in Computer Science, Statistics, Informatics, Information Systems or a related quantitative discipline is preferred.

• $145,000 + Superannuation

• Hybrid working model based in Adelaide

• Opportunity to work on meaningful, large-scale data initiatives

• Collaborative, values-driven culture with strong technical leadership

• Chance to influence and shape data architecture and analytics capability

If you're excited by the opportunity to build high-impact data solutions and want to work with a purpose-led organisation, we'd love to hear from you.

Apply now or contact Talenza for a confidential discussion.