Python Job: Data Feature Engineer

We're an iconic Aussie brand with a global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network.

This includes making Telstra the place you want to work.

For you, that means a having career that grows with you, and working with a team powered by human connection that prioritises wellbeing and choice.

Here’s what you can expect from us

• Flexible working. Wherever you live, choose where, when, and how you work so you can be at your best.
• There when life happens. From Gender Affirmation Leave to Telstra’s Additional Leave Day, we give you time to spend away from work when you need it most.
• Pay for performance. We recognise outstanding contributions through our competitive incentive programs.
• Parental Leave. A gender-equal policy for all parent/s so you can choose how and when you take your leave (16 weeks full pay or 32 weeks half pay). Receive superannuation contributions on paid and unpaid parental leave.
• Unlimited learning. Level up your skills with access to 17,000 learning programs. Learn ‘on the job’ and achieve university credits towards degrees and Masters programs.
• Global presence. With a global presence across 22 countries, there are many opportunities to work where we do business.
• Extra perks. Receive 25% off Telstra products and services, plus unlock exclusive discounts from over 240 brands and partners.

Make a difference

As part of Global Business Services, your mission will be to bring together and simplify customer services operations and internal support services. Deliver great experiences, simplify and innovate, and drive profitability across a global operating footprint.

What you'll do

As a Data Engineering Analyst, you create and provide access to high quality and reliable data solutions. In collaboration with your colleagues, you deliver and develop best practice data solutions and pipelines. You are known for the integrity and accuracy of data that enables quality data-driven business decisions and equip Telstra to deliver better customer and business outcomes.

This is how you bring the purpose of your role to life:

• Actively contribute to the evaluation of complex business information to define the business problem and create and implement best practice solutions
• Collaborate closely with Senior Data Engineers and Architects to contribute to the development and construction of data design ideas that deliver data optimisation and meet business requirements
• Develop (wrangling/ingestion and curation processes), test and maintain data systems using a combination of data sources, analytical techniques and insight generation
• Source, probe and analyse data sets acquired from varying sources using a range of programming languages, tools and techniques to enable data to be ingested and curated, in preparation for loading and application of the sourced data
• Uncover and investigate data quality issues forensically and methodically within a highly complex data landscape and help identify ways to improve data reliability, efficiency and quality.
• Prepare data for predictive and prescriptive modelling, perform analysis, fix issues and ensure data meets quality requirements to contribute to cross-team (within mission/chapter/function) work
• Participate in the building of tools and processes to support the data asset environment
• Present complex technical information to both technical and non-technical stakeholders in a way that optimises the engagement and facilitates agreement on project scope, milestones and deliverables
• Identify tasks that can be automated and participate in pushing for change to increase stability and speed of the platforms and products
• Safeguard application information against accidental or unauthorized damage, modification or disclosure by operating within standard practices, procedures, change control and testing processes.

What you need to succeed

To be successful in the role, you will bring skills and experience in:

Must have:

• Coding (SQL)
• Experience in ETL development
• Innovative problem solving
• Collaboration
• Understanding of data automation concepts
• Data wrangling and ingestion
• Deep understanding and experience in data warehousing concepts
• Analytical Thinking
• Demonstrate attention to detail
• Experience in daily management of data assets and processes
• Process improvement for data processes
• Understanding data modelling concepts

Nice To have:

• Coding (Python, Spark)
• Experience in Teradata, Azure and AWS relational database platforms
• Data presentation & visualisation
• Query performance tuning

If this opportunity sounds like a perfect fit for you, we'd encourage you to apply!

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We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.