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Data Warehouse Engineer - 6 month max term contract

Company Description

Symbio is a software company changing the way the world communicates. Our platform delivers the full communication stack, from carrier infrastructure to enterprise collaboration, across multiple Asia-Pacific regions.

Symbio is part of the Aussie Broadband Group - a fast-growing technology services provider with a market cap of around $1 billion (AUD). Listed on the Australian Stock Exchange (ASX: ABB), the Group collectively supplies more than 1 million services, operates two Tier 1 voice providers in Australia and owns fibre infrastructure.

Job Description

You will be part of data engineering team for our data and analytics platforms. This role requires a mixture of hands-on strategic work and will also focus on developing Symbio’s data engineering capabilities across multiple teams. As a Data Warehouse Engineer, your role also encompasses improving data and engineering practices and adhering to our agile processes. 

The Data Warehouse Engineer will be responsible for designing, building, and maintaining scalable and robust data pipelines, architectures, and infrastructure to support data-driven decision-making processes. You will have a proven track record of working with large-scale data and analytics systems, and be able to collaborate effectively with business analysts, software engineers, and other stakeholders.

There is an expectation that this role is part of the teams after hours support roster (level 3), which is rotated weekly for production critical platforms. We also understand that we as a team need to do everything, we can ensure resilient and self-healing platforms and data warehouse engineer will provide the time to make sure we do.

Qualifications

What you'll need to succeed:

  • A degree in Computer Science, Engineering, or a related field, or 3-5 years of relevant commercial experience in a comparable role
  • Extensive experience in modern data engineering practices.
  • Proven expertise in designing, building, and maintaining data analytics platforms, including Data Warehouses and Data Lakes.
  • Hands-on experience with cloud-based data platforms, particularly AWS. AWS Associate Developer or Architect certification is highly desirable.
  • Deep understanding of AWS data warehousing tools, such as Glue, Athena, and Redshift.
  • Familiarity with Infrastructure as Codeand CI/CD methodologies.
  • Strong background in distributed data processing technologies, such as Kafka.
  • Proficiency with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases.
  • Solid experience in data modeling and schema design.
  • Advanced skills in at least one programming language, such as Python or Java.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes
  • A sense of ownership of technical projects and improvement of engineering practices
  • Solid and broad knowledge of software development methodologies (including Agile)

What's it like to work here? We strive for a healthy, inclusive, and flexible workplace. We nurture diversity, continuous learning in the latest technology and thinking. Innovative benefits include parental leave for mums and dads, remote working, and a comfortable, fun work environment with social events, pool tables and fully stocked bar!

If this sounds like the next great step in your career, we'd love to hear from you. 

Apply Now!Symbio is an equal opportunity employer. All applications will be treated with the strictest confidentiality. You will need to have current work rights to work in Australia and be prepared to undergo relevant background checks.  No recruiters please.

Additional Information

Life at Symbio

We ensure our employees have equal access to a range of learning and development opportunities, and encourage everyone, regardless of gender, ethnicity, disability, sexual orientation or life stage to embrace these opportunities, enabling them to develop themselves and their career.

Our employee’s happiness, health and wellbeing is important at Symbio.  We provide all employees with flexible working options to ensure that work doesn’t compromise life outside Symbio and also supports their wellbeing.  We regularly enhance our employee benefits such as discounted Aussie Broadband internet, up to 26 weeks paid parental leave including super contributions for primary and secondary carers and social clubs.

At Symbio, our diverse backgrounds and unique experiences allow us to continue to innovate and create the brands, networks and technologies to power the future of global communications.

Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Warehouse Engineer - 6 month max term contract, Symbio

Are you looking for an exciting opportunity to grow your career as a Data Warehouse Engineer? At Symbio, located at 580 George St, Sydney, NSW, we’re on a mission to revolutionize communication through our innovative platform. We're part of the Aussie Broadband Group and are deeply committed to enhancing our data engineering capabilities. As a Data Warehouse Engineer here, you'll play a crucial role in designing, building, and maintaining robust data pipelines and architectures, all while collaborating closely with business analysts and software engineers. Your hands-on approach to data engineering will not only improve our practices but also help shape the future of our data and analytics platforms. You should have a strong background in managing large-scale data systems, and familiarity with AWS tools like Glue, Athena, and Redshift is essential. We value creativity and problem-solving skills, and we're looking for someone who’s not only qualified but is also eager to take ownership of projects and strive for continuous improvement. Plus, at Symbio, you'll be part of a supportive culture that values flexibility and inclusivity, strengthening our workplace with diverse perspectives. If you’re ready to join a team that prioritizes innovation and the well-being of its employees, then we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data Warehouse Engineer - 6 month max term contract Role at Symbio
What are the responsibilities of a Data Warehouse Engineer at Symbio?

As a Data Warehouse Engineer at Symbio, you're responsible for designing, building, and maintaining data pipelines and architectures that support data-driven decision-making. This role requires collaboration with various stakeholders and improving data engineering practices. You will also be involved in after-hours support for production-critical platforms.

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What qualifications do I need to apply for the Data Warehouse Engineer position at Symbio?

To qualify for the Data Warehouse Engineer role at Symbio, you should have a degree in Computer Science, Engineering, or a related field, or 3-5 years of relevant commercial experience. Extensive experience in modern data engineering practices, particularly with AWS data warehousing tools, is essential.

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What skills are essential for a Data Warehouse Engineer at Symbio?

Key skills include proficiency in AWS data warehousing tools like Glue and Redshift, experience with relational and NoSQL databases, knowledge of data modeling, and advanced programming skills in languages like Python or Java. Familiarity with CI/CD methodologies and container orchestration tools like Kubernetes is also important.

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What is the work environment like for Data Warehouse Engineers at Symbio?

Symbio offers a healthy, inclusive, and flexible workplace. You'll enjoy a fun environment that promotes social interactions, continuous learning, and a commitment to employee well-being, including remote work options and innovative employee benefits.

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What can I expect during the interview process for the Data Warehouse Engineer at Symbio?

The interview process for the Data Warehouse Engineer role at Symbio typically includes technical assessments, discussions about your past projects, and evaluations of your problem-solving skills to determine how well you fit into our innovative team.

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Common Interview Questions for Data Warehouse Engineer - 6 month max term contract
Can you describe your experience with building data pipelines?

When answering this question, share specific projects where you defined architectures and workflows. Discuss the tools you used, such as AWS or other ETL tools, and explain the challenges you faced and how you overcame them.

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What AWS data warehousing tools are you most familiar with?

In your response, mention tools like AWS Glue, Redshift, and Athena. Provide examples of how you've used these tools in past projects, emphasizing their impact on efficiency and data accessibility.

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How do you ensure data accuracy and integrity in your work?

Discuss the strategies and methodologies you implement, such as validation rules, error-checking processes, or testing frameworks. Emphasize how your attention to detail contributes to reliable data.

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What programming languages are you proficient in, and how have you utilized them in data engineering?

Highlight your proficiency in languages like Python or Java. Provide examples of tasks you accomplished with these languages, such as data processing or automated ETL jobs.

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Can you explain a challenging technical problem you faced and how you resolved it?

Share a specific instance when you encountered a complex issue, the steps you took to diagnose it, and the solution you implemented. This shows your problem-solving skills and ability to think critically.

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What role does teamwork play in data engineering projects?

Explain how effective collaboration leads to better project outcomes. Discuss your experience working with data analysts, software engineers, and stakeholders to enhance overall project efficiency.

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How do you stay updated with the latest trends in data engineering?

Share your strategies for staying informed, such as following industry publications, attending conferences, or participating in online communities. This shows your commitment to continuous learning.

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What is your experience with Infrastructure as Code (IaC)?

Discuss the IaC tools and frameworks you've worked with, such as Terraform or AWS CloudFormation. Provide examples of projects where you implemented IaC and the benefits it brought to your processes.

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How do you handle after-hours support for production-critical platforms?

Describe your approach to after-hours support, focusing on preparedness and responsiveness. Highlight any previous experience and emphasize how you prioritize system resilience.

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Why do you want to work at Symbio as a Data Warehouse Engineer?

Customize your response to reflect your interest in Symbio's innovative approach to communication and your excitement about contributing to data-driven decision-making processes. Align your personal values with the company's mission.

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Symbio, headquartered in San Jose, California, is a digital services company that helps companies build innovative software products.

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DATE POSTED
March 29, 2025

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