About the job
- Collaborate with a talented team on innovative projects and diverse clients.
- Utilize your expertise in AWS, data management, and DevOps cloud operations.
- Take the lead in designing and developing advanced data lake and Kafka solutions.
About Itoc:
At Itoc, we streamline and mitigate the risks involved in our clients' transition to the cloud. We are a prestigious cloud consulting, engineering, and managed services firm with an established history of aiding clients in their cloud strategies, implementations, and operational needs.
As a premier consulting partner with Amazon Web Services, we prioritize building relationships grounded in integrity and our commitment to a no-failed-project philosophy.
Culture and intellect are essential to our success—bring your unique skills and insights. This is not your typical working environment; you will be collaborating with some of the brightest minds in the cloud industry.
We believe in hard work intertwined with enjoyment.
The Opportunity:
We are expanding our Data Team in Sydney and seeking individuals with strong technical leadership potential. This is an exciting opportunity to work with contemporary data architectures, including data lakes, Apache Kafka, databases, and data transformation using Python and SQL.
As a Senior Data Engineer, you will create foundational, robust, and production-ready data platforms that facilitate business data discovery, self-service capabilities, and AI/ML functionalities across various clients and sectors, empowering them to maximize their data assets.
You will be responsible for:
- Enhancing our expertise in key data focus areas;
- Data Lakes and Modern Data Architectures
- Relational Databases and Data Warehouses
- Apache Kafka clusters and services
- Keeping our clients ahead of the curve by leveraging the latest data technologies and tools.
- Contributing to our expanding portfolio of data solutions.
- Ongoing optimization and management of data platforms.
- Designing and developing data ingestion, transformation, and presentation pipelines.
- Promoting data best practices to our clients.
The Ideal Candidate:
To succeed in this role, you should possess:
- A passion for data!
- Experience with data lakes, databases, and pub/sub solutions.
- The ability to analyze business scenarios and the associated data landscape to uncover potential opportunities.
- Excellent communication skills and the ability to work collaboratively.

