Adelaide (Hybrid Working)
$145,000 + Superannuation
Background
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.
The Role
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.
Key Responsibilities
* 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
Skills & Experience
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.
What's On Offer
* $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
How to Apply
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.