Senior Data Engineer
Senior Data Engineer
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Job Description
- Exciting opportunity within our Data & Analytics team
- Permanent fulltime 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 endtoend 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 costefficient 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 finetune 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).
- Expertlevel proficiency in Python and SQL along with practical experience building and maintaining productionready data pipelines using tools such as dbt Airflow Spark Kafka or DataStage. Experience with cloudbased and onpremise 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.
- Handson pipeline development and deployment experience for new data use cases
- Solid understanding of data quality security and compliance standards.
- Familiarity with data visualisation tools such as Power BI.
- Handson 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 nontechnical 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 problemsolving. Proven ability to navigate ambiguity and demonstrate resilience.
Why Qantas
Youll 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 youll 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. Youll 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 weve 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.
- Well 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.
- Well support your wellbeing: Whether its learning to better support your own and others mental health our interactive wellbeing app or your very own tailored nutrition plan.
Applications Close: 11:59pm Friday 14 February 2025
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
