Join Innablr
We're building a team of engineers who care about doing meaningful work in Data and AI.
Why work with us
Enterprise clients, real problems
Work directly with organisations in financial services, healthcare, government and critical infrastructure. Every engagement has a clear business outcome.
Continuous learning culture
Conferences, certifications, study leave and regular knowledge-sharing. We invest in growth because sharper engineers deliver better outcomes.
Work at the frontier
AI agents, LLM orchestration, RAG pipelines, cloud-native security. Technologies that most teams are still reading about.
Small team, outsized impact
No layers of management. Own delivery end-to-end, build your reputation and shape how we solve problems.
Flexible by default
Where you work depends on the engagement. Some clients are on-site, some hybrid, some fully remote. We flex to what works.
Australian enterprise focus
APRA, Essential Eight, data sovereignty and the regulatory landscape. Build expertise that matters in this market.
Open roles
(Senior) Data Engineer
Design, build and deploy production-grade data platforms and analytics solutions for enterprise clients across Australia. You will work with the Databricks Data Intelligence Platform, Apache Spark, Delta Lake and Unity Catalog to solve real business problems in healthcare, financial services, government and more.
What you will do
- Architect and implement scalable data pipelines using PySpark, SQL and Databricks Workflows following the Medallion architectureBuild and optimise data lakehouses with Delta Lake for enterprise data storage, processing and analytics
- Implement robust data governance, lineage and secure access controls using Unity Catalog
- Design data engineering strategies, CI/CD frameworks and automated testing for production data systems
- Deploy and monitor data workloads on Azure Databricks or AWS environments
- Collaborate directly with enterprise clients to translate business problems into robust data solutions
What you bring
- 3+ years in data engineering with at least 1 year focused on the Databricks platform and ecosystem
- Strong PySpark and SQL skills with experience in distributed data processing and production pipeline development
- Hands-on experience with Delta Lake, Unity Catalog and Databricks Workflows
- Understanding of modern data architectures (Lakehouse, Medallion) and enterprise data modelling
- Experience with cloud platforms (AWS or Azure) and infrastructure as code (Terraform, ARM)
- Ability to communicate technical concepts clearly to non-technical stakeholders
Nice to have
- Experience with Databricks SQL, MLflow or Databricks AI/GenAI capabilities
- Familiarity with modern data stack tools (dbt, Apache Airflow, Fivetran)
- Knowledge of Australian data privacy regulations and enterprise data governance frameworks
- Background in consulting or client-facing delivery