- Join a powerhouse of brands that connect customers, businesses and communities.
- Bring your boldness and stand out in an organisation that supports you to shine.
- Access to awesome perks like a free mobile and home internet plan!
Bring your ‘you’ to TPG Telecom, and help us build meaningful relationships and support vibrant, connected communities. We’re better and bolder together.
TPG Telecom started with a belief that we can make things better for Australians. We believe in the power of meaningful relationships to support vibrant, connected communities where everyone belongs. It’s our why; our reason to exist. Now, we’re proud to be one of Australia’s leading mobile and internet providers. We’re not just redefining telco, we’re changing its course. And you play a role in that. A big one. The opportunities are plenty for those who are ready to accept the challenge.
Could that be you?
Your opportunity:
We are looking for a Senior Data Engineer to design and operate large-scale, cloud-native data platforms supporting network experience and operational analytics.
This role focuses on building robust AWS-based data pipelines that ingest, process, and transform high-volume operational and customer data, while ensuring strict compliance with PII handling, data masking, and privacy requirements.
You will play a key role in enabling scalable, reliable data platforms that support downstream analytics, reporting, and monitoring use cases across the business.
You'll make impact by:
Cloud Data Platform Engineering (AWS)
- Design, build, and operate scalable data pipelines on AWS (S3, Glue, Lambda, Redshift, etc.)
- Develop batch and near real-time ingestion frameworks for operational and customer data
- Optimise data processing for performance, cost, and scalability
- Implement CI/CD and infrastructure-as-code practices for data platform deployments
Data Pipelines & Transformation
- Build and maintain ETL/ELT pipelines using tools such as Glue and Airflow
- Transform raw data into structured, analytics-ready datasets
- Develop reusable data models and curated data layers
- Ensure high reliability, traceability, and scalability of pipelines
Data Privacy, Security & PII Handling
- Design and implement data masking and tokenisation solutions for PII (e.g. MSISDN, IMSI)
- Build and operate masking pipelines (e.g. Glue ETL jobs processing S3 datasets)
- Ensure compliance with privacy standards and regulatory requirements
- Implement governance controls, including:
- Data classification
- Access controls and segregation
- Data lineage and auditability
Platform & Architecture Contribution
- Define and implement best practices in data architecture:
- Data lake zoning (raw, curated, masked)
- Partitioning and performance optimisation
- Contribute to AWS platform design and evolution
- Drive continuous improvements in reliability, scalability, and cost efficiency
Stakeholder Collaboration & Leadership
- Work across engineering, network, and business teams to deliver data solutions
- Translate business and operational requirements into scalable data architectures
- Provide mentorship and technical leadership to other engineers
- Own delivery end-to-end with a high degree of autonomy
What you’ll bring:
- 5–8+ years’ experience in data engineering
- Strong hands-on experience with AWS data ecosystem (S3, Glue, Redshift, Lambda, IAM)
- Proven experience building production-grade data pipelines and platforms
- Strong SQL and Python (or similar)
- Experience with orchestration tools (e.g. Airflow)
- Experience handling PII and sensitive data, including:
- Working in regulated environments
- Experience implementing data masking pipelines and controls
Ideally, you will also have:
- Experience with observability or telemetry platforms (e.g. Splunk, Grafana)
- Experience ingesting and structuring high-volume event, log, or telemetry data
- Exposure to telecom / network datasets and operational domains
- Experience working with network performance and customer experience KPIs (e.g. latency, throughput, service availability, order journey metrics)
- Experience working with home / CPE device performance data (e.g. modem/router metrics, Wi-Fi quality, device health signals)
- Familiarity with streaming platforms (Kafka, Kinesis, etc.)
- Knowledge of AWS data security tooling (e.g. Macie)
What's in it for you?
- Flexible hybrid way of working (from home and office)
- ‘Stay Connected Mobile’ – Access to a free mobile plan
- ‘Stay Connected NBN’ – Access to a free, high‑speed NBN plan (up to 500 Mbps)
- ‘Your Leave’ - an additional 4 days of leave to be used whenever you like - every year
- Access to TPG Learning Hub platform and internal development opportunities
- Access to Corporate Partner Discounts
Come join us and build a better future. Apply today.
Don’t meet every single requirement? That’s OK! At TPG Telecom, we’re all about creating an accessible workplace where everybody feels safe to bring their authentic self to work - regardless of background. If you think this role is a great fit for you but some of the qualifications don’t align with your experience, we still encourage you to apply - you might just be the perfect candidate for a similar role with us! Learn more about life at TPG Telecom here.
TPG Telecom also acknowledges the Gadigal People of the Eora Nation as the Traditional Custodians of lands and waterways where this office can be found in Barangaroo.
Our Talent Acquisition Team and Hiring Managers kindly request no unsolicited resumes or approaches from Recruitment Agencies. TPG Telecom is not responsible for any fees related to unsolicited resumes.
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- Published on 20 May 2026, 5:52 AM
