Talenza
Employees
51-200
Total Jobs
116
Last 90 days jobs
69
Tech at Talenza
Jobs
| SaaS, Agile/Scrum, Analytics, Management, SAS | |||
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data engineer
Platform Engineer - tech unicorn @ talenza
AU | 2025-10-20
Platform Engineer at a Sydney hybrid unicorn promises to build an internal self-service layer that helps developers ship faster while keeping Kubernetes, AWS, and IaC in check. The tech stack...
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CI/CD, IaC, Kubernetes, AWS, Cloud Computing, Terraform, GitHub, Argo CD, Prometheus, Grafana, Datadog | ||
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promoted
O'Reilly Power BI LearningMaster Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service. |
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| Analytics, Management, Data Analytics, DataViz, Power BI, Python, Data Modelling, SQL, AI/ML | |||
| Analytics, API, Cloud Computing, Data Governance, Computer Science, Data Modelling, ETL/ELT, Management, Microsoft, AWS | |||
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data engineer
Senior Data Engineer @ talenza
AU | 2025-09-15
This role seeks a senior data engineer to drive the digital transformation of a large-scale organization, focusing on cloud-based data pipelines and platform development. The candidate should...
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Cloud Computing, Analytics, AWS, AWS Glue, AWS Lambda, S3, Snowflake, CI/CD, DevOps, Data Engineering, SQL, Python, Git, Data Quality, dbt, Data Streaming, AI/ML | ||
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data scientist
AI Engineer @ talenza
AU | 2025-09-12
| USD
170000
/ year
This role offers a hands-on AI engineering opportunity with a competitive salary, but the description lacks specificity on the company’s culture, technical depth, or unique value proposition. The...
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AI/ML, Cloud Computing, MLOps, Computer Science, Data Science, Python, R, Java, C++, AWS, Azure, GCP, Docker, Kubernetes, TensorFlow, PyTorch | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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| Management, Analytics | |||
| AI/ML, Analytics, Data Quality, Management, SQL | |||
| Jira, Confluence, SQL | |||
| Management | |||
| SQL, Data Quality, Informatica, ETL/ELT |