Senior Data Engineer

Location:

• This position will be based in our Sydney office. The candidate is required to attend the office a minimum of 3 days per week but may voluntarily elect to work either remotely or from the Sydney office for the remaining 2 days of the week.

Key Responsibilities

• Design, build and maintain scalable ETL/ELT pipelines that ingest, transform and deliver trusted data for analytics and AI use cases.
• Build data integrations with well-known SaaS platforms such as Salesforce, NetSuite, Jira and others.
• Implement incremental and historical data processing to ensure accurate, up-to-date data sets.
• Ensure data quality, reliability and performance across pipelines through validation, testing and continuous code optimization.
• Contribute to data governance and security by supporting data lineage, metadata management and data access controls.
• Support production operations, including monitoring, alerting and troubleshooting.
• Work with stakeholders to translate business and technical requirements into well-structure, reliable datasets.
• Share knowledge and contribute to team standards, documentation and engineering best practices.

Skills, Knowledge and Expertise

• Data Ingestion & Integration: hands-on experience building robust ingestion pipelines using tools and patterns such as Databricks Auto Loader, Lakeflow Connectors, Fivetran and/or custom API / file-based integrations.
• Core Data Engineering: strong development experience using SQL, Python and Apache Spark (PySpark) for large-scale data processing.
• Data Pipeline Orchestration: proven experience developing and operating data pipelines using Databricks Workflows & Jobs, Delta Live Tables (DLT) and/or Lakeflow Declarative Pipelines.
• Incremental Processing & Data Modelling: deep understating of incremental data loading, including Change Data Capture (CDC), MERGE operations and Slowly Changing Dimensions (SCD) in a Lakehouse environment.
• Data Transformation & Lakehouse Design: experience in designing and implementing Medallion Architecture (bronze, silver and gold) using Delta Lake.
• Data Quality, Test and Observability: experience implementing data quality checks with tools and frameworks such as DLT expectations, Great Expectations or similar, including pipeline testing and monitoring.
• Data Governance & Lineage: hands-on experience with data cataloguing, lineage and metadata management within Unity Catalog to support governance, auditing and troubleshooting.
• Performance Optimization: experience tuning Spark and Databricks workloads, including partitioning strategies, file sizing, query optimization and efficient use of Delta Lake features.
• Production Engineering Practices: experience working with code versioning (Git), peer review and promoting pipelines through development, test and production environments.
• Security & Access Control Awareness: Understanding of data access control, sensitive data handling and working with Unity Catalog in the context of governed environments.
• Stakeholder & Team Collaboration: strong communication and analytical skills working with business and technical stakeholders to gather requirements, explain data concepts and support downstream users such as analysts and dashboard developers.

Desired Expertise :

About NUIX

As we expand our global team and extend our skills and expertise, we are unified as one Nuix team guided by our shared values. Nuix Vision

• Finding Truth in a Digital World.

Nuix Mission Statement

Nuix Values

**Nuix is an Equal Opportunity Employer**