Senior Data Engineer
Kasada
full-time
Posted on:
Location Type: Hybrid
Location: Sydney • Australia
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Job Level
About the role
- In this role, you will be the architect and engine behind the evolution of our data platform, transitioning it from a traditional ETL-based warehouse into a versatile, high-performance data platform.
- Your mission is to eliminate the latency bottlenecks of our current system, moving us toward a platform capable of fast query performance for real-time portal metrics, developing models for data science and internal troubleshooting.
- You will act as a key partner to our Data Analytics, Customer Facing Portal and Data Science teams, building the data solutions that empower them to extract deeper insights and drive critical business decisions.
- This is a highly collaborative role; you will work across the organization to understand diverse stakeholder needs and architect the infrastructure and technologies to be used, any ingestion processes, and data applications required to address them.
- Whether it’s powering a customer-facing dashboard or an internal diagnostic tool, you will ensure our data is accessible, fast, and reliable while championing engineering excellence and shaping our future technical roadmap.
Requirements
- You are a seasoned engineer with 5+ years of professional experience as a Senior Data Engineer building production-grade data systems, with a proven track record of transforming legacy architectures into high-performance, multi-use platforms.
- Experience leading the shift from traditional batch-heavy environments to modern stacks that support streaming, real-time analytics, data science, and operational troubleshooting simultaneously.
- A deep understanding of how to optimize data storage, partitioning, and retrieval patterns to transition from latent, slow-loading processes to near-instant query results.
- A strong understanding of data engineering tools, frameworks, and best practices used to improve the productivity and quality of output for the entire data engineering team.
- Experience building the frameworks and tooling necessary to accelerate the Data Science lifecycle, specifically in streamlining feature engineering, model deployment and monitoring models in a production environment.
- Expertise in real-time processing (Flink/Kafka) and a strong grasp of the complexities involved in event-driven architectures and state management.
- Strong experience within the AWS ecosystem, focusing on building systems that are both horizontally scalable and cost-efficient.
- Proficiency in Python, Java or Scala, expert-level SQL, and a rigorous approach to data modelling and schema design that prioritizes both flexibility and speed.
- A proactive, 'owner' mindset. You are comfortable navigating the trade-offs of a system in transition and have the clarity to make well-reasoned technical decisions in a dynamic environment.
Benefits
- A stake in Kasada’s global success through equity/stock options
- Support for growing families, including generous parental leave and resources before, during, and after leave
- Wellbeing support to help you grow and recharge, including access to our EAP with confidential counselling for you and your loved ones
- Birthday leave
- Wellness leave
- Annual company offsites to connect, collaborate, and celebrate together
- A dog-friendly HQ in Sydney
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLreal-time analyticsdata modelingstreamingfeature engineeringmodel deploymentSQLPythonJava
Soft Skills
collaborationproblem-solvingproactive mindsettechnical decision-makingstakeholder management