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Senior Data Engineer

Company Description

About Us

Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline. Qantas has a range of subsidiary businesses that support the overall operations of the Group. The Qantas Group’s main business is the transportation of customers and freight using two complementary airline brands — Qantas and Jetstar — operating regional, domestic, and international services.

Job Description

  • Exciting opportunity within our Data & Analytics team 
  • Permanent, full-time roles working at our Mascot Campus (hybrid working options available) 
  • Staff Travel Benefits from Day One! 

The Senior Data Engineer will utilise their experience and strong technical skills in data engineering to drive innovation and provide technical direction input to Architect/Delivery Lead/Product Owner.  

They work hands on in the end-to-end life cycle of our data platforms, pipelines and solutions utilising modern data and cloud tooling, from contributing to design activities within projects, focusing on data and analytics solutions, as well as the ongoing maintenance and continuous improvement of them 

What you will do: 

  • Collaborate closely with Data Modellers, Technical Business Analysts, Delivery Leads, Product Owners and Visualization Engineers to understand analytical requirements and translate them into scalable and cost-efficient data solutions on cloud platforms 
  • Design and implementation of data solutions and pipelines on existing enterprise platforms with data quality checks and monitoring procedures built in to guarantee the accuracy, consistency, and reliability 
  • Provide support and technical leadership in problem, issue, and incident resolutions of data platforms and pipelines, ensuring minimal disruption to data services 
  • Conduct peer reviews of code within the Data Engineering practice to maintain high standards of code quality and performance. 
  • Actively contribute to the Data Engineering/Software Engineering Chapter, aiding in the development of the chapter, adherence to enterprise standards. 
  • Develop and maintain detailed and precise technical documentation for all data engineering solutions and processes. 
  • Develop and fine-tune data models and schemas to support diverse analytical and reporting needs. 
  • Provide guidance and implement best practices for data extraction, loading, storage, indexing, retrieval, and transformation to ensure optimal performance and scalability. 
  • Guide and consult business stakeholders that look to make use of our Data Assets whilst safeguarding security, privacy and compliance policies 

What you will bring: 

  • 5+ years relevant data engineering experience
  • Tertiary degree (or equivalent experience) in a highly analytical discipline (e.g. computer science, engineering).
  • DataStage development - data integration design, development, ELT job creation and maintenance
  • Experience with cloud-based and on-premise data warehousing solutions (e.g., Teradata, Snowflake, Redshift).
  • Deep understanding of data engineering concepts and principles, including ETL/ELT processes, data warehousing, data modelling, and data governance.
  • Hands-on pipeline development and deployment experience for new data use cases
  • Exposure to Teradata and Teradata GCFR (Global Control Framework)
  • Exposure to enterprise data governance and data cataloguing tools such as Collibra, Alation
  • Solid understanding of data quality, security, and compliance standards.
  • Familiarity with data visualisation tools such as Power BI.
  • Hands-on experience with cloud platforms (AWS, GCP, Azure) and their data storage and processing services.
  • Proficiency in DevOps practices and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Strong product mindset to build data products, focusing on customer needs, continuous value delivery, and operational excellence
  • Agile mindset with experience working in an agile team, with a flexible working style either working independently or part of cross functional teams.
  • Strong written and verbal communication skills and ability to communicate highly technical information to non-technical stakeholders
  • Excellent analytical skills and ability to learn with minimal oversight, critical thinking skills with an analytical mindset
  • Intellectual curiosity and the ability to understand and solve not always well- defined problems and come up with relevant answers to guide our business decisions
  • Experience in mentoring and leading engineers with technical direction.
  • Strong teamwork, adaptability, and a proactive approach to problem-solving. Proven ability to navigate ambiguity and demonstrate resilience

Applications Close: 11:59pm Monday 7 April 2025

Why Qantas?  

You’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.  

There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.   

The Qantas employee benefits program offers amazing benefits that extend well beyond travel: 

  • We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays. 
  • We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.  
  • We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.  
  • We’ll support your wellbeing: Whether it’s learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan. 

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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 Senior Data Engineer, Qantas Group

Join Qantas as a Senior Data Engineer and embark on an exciting journey with Australia's largest airline! At our Mascot Campus in Sydney, you'll have the chance to leverage your data engineering expertise and play a critical role in our Data & Analytics team. The perfect candidate will not only bring their 5+ years of relevant experience but also a passion for innovation and excellence. You'll be hands-on in developing scalable data solutions that ensure accuracy and reliability, while working closely with a diverse team of professionals like Data Modellers and Product Owners to understand analytical requirements. This is a fantastic opportunity for someone who thrives in a collaborative environment and has a solid understanding of data engineering principles, including ETL processes and data governance. As you lead technical initiatives, you'll be guiding and mentoring fellow engineers, contributing to the overall quality of our data products. We value your personal and professional growth, which is why we offer extensive training and flexible work options. Plus, enjoy amazing benefits like discounted air travel and flexible leave programs from day one. If you're eager to make a significant impact while working for a company that puts creativity at the forefront, Qantas is the place for you!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Qantas Group
What responsibilities does a Senior Data Engineer at Qantas have?

A Senior Data Engineer at Qantas is responsible for designing and implementing scalable data solutions and pipelines, collaborating with various stakeholders to translate analytical needs into actionable data strategies. In addition to maintaining high standards of code through peer reviews, this role includes providing support in resolving issues related to data platforms, ensuring data quality, and optimizing data models for reporting.

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What qualifications are needed for the Senior Data Engineer position at Qantas?

To qualify for the Senior Data Engineer role at Qantas, candidates should have at least 5 years of relevant experience in data engineering and a tertiary degree in a highly analytical discipline such as computer science or engineering. Familiarity with data warehousing solutions and cloud platforms like AWS, GCP, or Azure is essential, as well as proficiency in DevOps practices and a solid understanding of data governance.

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What technology stack will a Senior Data Engineer at Qantas work with?

As a Senior Data Engineer at Qantas, you'll work with a modern technology stack that includes cloud-based and on-premise data warehousing solutions like Teradata, Snowflake, and Redshift. You'll also utilize data integration tools such as DataStage, and work with data visualization platforms like Power BI, alongside DevOps tools for CI/CD.

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How does Qantas support the professional development of its Senior Data Engineers?

Qantas places a strong emphasis on the professional development of its Senior Data Engineers. Employees receive on-the-job training and coaching from day one, as well as access to formal training opportunities. With a culture that encourages creativity and career growth, there are numerous paths to advance within the organization.

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What is the company culture like for Senior Data Engineers at Qantas?

The company culture for Senior Data Engineers at Qantas is collaborative, innovative, and supportive. Employees are encouraged to bring their creativity to the table and work as part of cross-functional teams. With flexible working options and a focus on personal development, you'll find an environment that fosters both professional and personal growth.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with ETL/ELT processes as a Senior Data Engineer?

In an interview, explain your experience with ETL/ELT processes by discussing specific projects where you've designed and implemented data pipelines. Highlight any tools you've used, the challenges you faced, and how you ensured data quality throughout the process.

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What strategies do you use to ensure data quality in your engineering solutions?

Discuss your approach to data quality by addressing techniques like data validation, quality checks during data extraction, and monitoring procedures you've implemented. Emphasize the importance of data consistency and how you ensure these checks are integrated into your workflow.

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How do you approach collaboration with Data Modellers and Product Owners?

Collaboration is crucial in this role. Share examples of how you've effectively engaged with Data Modellers and Product Owners to understand their requirements and translate them into technical specifications. Highlight your communication skills and your ability to bridge the gap between technical and non-technical stakeholders.

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Which cloud platforms have you worked with, and how did you utilize them in your data engineering projects?

Be ready to talk about your experience with cloud platforms like AWS, Azure, or GCP. Provide examples of specific projects where you designed and deployed data solutions in these environments, detailing any challenges and how you leveraged platform services to achieve your goals.

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What coding standards do you follow when conducting peer reviews?

When discussing coding standards, explain the importance of consistency, documentation, and performance in your coding practices. Highlight how you provide constructive feedback during peer reviews, aiming to enhance code quality and encourage best practices among your team.

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

Discuss your proactive approach to professional development, such as following industry blogs, attending webinars, or participating in professional groups. Mention specific resources or communities that keep you informed about emerging trends and how you apply this knowledge in your work.

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Can you provide an example of a complex problem you solved as a Senior Data Engineer?

Share a specific instance where you encountered a complex data engineering challenge. Walk through the problem, the steps you took to analyze it, and how you arrived at a solution. Highlight the technical skills you used and the positive impact of your solution on the project.

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What DevOps practices do you employ in your data engineering tasks?

Be prepared to discuss your experience with CI/CD pipelines and how you integrate DevOps practices into your data engineering workflow. Provide specific examples of how these practices have improved the efficiency and reliability of your data solutions.

Join Rise to see the full answer
How do you manage your time and prioritize tasks in a fast-paced environment?

Explain your time management strategies, such as using project management tools or techniques like the Eisenhower Matrix to prioritize tasks based on urgency and importance. Provide examples of how effective time management has allowed you to meet deadlines in past projects.

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Why do you want to work for Qantas as a Senior Data Engineer?

When answering this question, highlight your admiration for Qantas's industry-leading position and commitment to innovation. Discuss how the company culture aligns with your career goals and values, and emphasize your excitement to contribute to Qantas's data initiatives.

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Qantas is a commercial airline company offering flights to Australia, Asia, Africa, New Zealand and the South Pacific. They are headquartered in Mascot, New South Wales, Australia.

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DATE POSTED
April 1, 2025

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