Designs and maintains enterprise data integration pipelines between CrewConnect and connected systems. Builds scalable ingestion, transformation, validation, and ETL/ELT processes using Snowflake, dbt, AWS, and DevOps practices. Analyzes data flows, mappings, dependencies, and requirements; resolves integration, performance, and data-quality issues; and supports governance, metadata, lineage, stewardship, and access controls while collaborating with business and technical teams.
Key JD requirements:
- Design, develop and maintain data integration
pipelines/interfaces between CrewConnect and upstream/downstream systems.
- Analyse existing data flows, mappings and
dependencies and support interface enhancements.
- Build and support reliable data ingestion, transformation
and validation, ensuring data quality and integrity.
- Troubleshoot data/interface issues and perform
root-cause analysis with application/product teams.
- Translate crew/resource scheduling data
requirements into scalable integration and data-engineering solutions.
Technical Environment:
The role works across Snowflake, DBT, AWS cloud
services, Git-based DevOps pipelines, enterprise integrations, and reporting
ecosystems supporting CrewConnect and broader People Domain initiatives.
Data solutions are deployed within cloud-native
environments leveraging modern engineering practices, automation, and
governance frameworks to support scalable enterprise data products.
Essential Capabilities and
Experience
- Advanced experience in SQL development and data
modelling for enterprise-scale solutions.
- Strong experience designing and implementing data
solutions using Snowflake.
- Proven experience with DBT for data
transformation, testing, documentation, and deployment.
- Experience implementing and supporting Git-based
DevOps practices and CI/CD pipelines.
- Strong understanding of data governance
principles, including data quality, metadata, lineage, stewardship, and
access controls.
- Exposure to AWS services such as S3 and IAM.
- Experience designing scalable data pipelines and
ETL/ELT processes.
- Ability to analyse complex business requirements
and translate them into maintainable data solutions.
- Strong problem-solving skills with the ability to
investigate and resolve data quality, performance, and integration issues.
- Effective communication and collaboration skills
across business and technical teams.
- A qualification in Computer Science, Engineering,
Information Systems, Data Analytics, or equivalent practical experience.
XPT Software Australia Pty Ltd Melbourne, Victoria, AUS Office
Melbourne, Australia
Similar Jobs
Artificial Intelligence • Software
Own EULER’s data lifecycle, including instrumentation, validation, reconciliation, privacy, anonymization, canonical data modeling, analytics datasets, documentation, and production pipelines. The role requires strong SQL, software engineering practices, independent ownership, skepticism toward data quality, and clear communication. Preferred experience includes GDPR/LGPD, multi-tenant B2B SaaS, dbt, statistics, Cloudflare Workers, Postgres, Parquet, DuckDB, and Bubble.
Top Skills:
BubbleCloudflare WorkersDbtDuckdbHyperdriveParquetPostgresSQL
Database
Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.
Top Skills:
AWSAws Cost And Usage ReportsAws Cost ExplorerAws LambdaBashBigQueryCloudzeroDbtGCPGcp Billing ReportsHexLinearNotionPulumiPythonSQLTerraformVantage
Information Technology • Business Intelligence • Consulting
Design, build, and optimize scalable cloud data platforms, pipelines, data models, lakehouses, and warehouses using Microsoft Azure and Fabric. Integrate cloud and on-premises sources, develop transformations with SQL, Spark, and Python, and implement governance, security, quality, CI/CD, and performance controls. Collaborate with architects, analysts, data scientists, and stakeholders to support analytics, reporting, AI, and machine learning initiatives.
Top Skills:
Azure Ai ServicesAzure Data FactoryAzure Data Lake StorageAzure DatabricksAzure DevopsAzure OpenaiAzure SqlAzure Synapse AnalyticsCi/CdFabric Data FactoryFabric LakehouseFabric WarehouseAzureMicrosoft Copilot StudioMicrosoft FabricMicrosoft PurviewNotebooksOnelakePower BIPysparkPythonRetrieval-Augmented Generation (Rag)SnowflakeSparkSQLVector Databases
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
