{"id":1829396,"url":"https://alion.io/job/australian-securities-exchange-principal-data-engineer-apache-spark-dbt-airflow","title":"Principal Data Engineer (Apache Spark, dbt, Airflow)","company":{"id":185220,"name":"Australian Securities Exchange","domain":"asx.com.au","url":"https://alion.io/company/australian-securities-exchange","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":220000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Confluence","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-27T16:14:04Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"ASX: Powering Australia's financial markets\nWhy join the ASX?\nWhen you join ASX, you’re joining a company with a strong purpose - to power a stronger economic future by enabling a fair and dynamic marketplace for all.\nIn your new role, you’ll be part of a leading global securities exchange with a strong brand. We are known for being a trusted market operator and an exciting data hub.\nWant to know why we are a great place to work, click on the link to learn more.\nwww.asx.com.au/about/careers/a-great-place-to-work\nWe are more than a securities exchange!\nThe ASX team brings together talented people from a diverse range of disciplines.\nWe run critical market infrastructure, with 1 in 3 people employed within technology. Yet we have a unique complexity of roles across a range of disciplines such as operations, program delivery, financial products, investor engagement, risk and compliance.\nWe’re proud to foster a workplace where diversity is celebrated and inclusion is part of our everyday culture. Our employee-led networks champion LGBTIQ+ inclusion, promote gender equality, accessibility and wellbeing, inspire giving and volunteering, and celebrate cultural and religious events, creating a sense of belonging for all. As an AWEI Bronze employer and member of the Champions of Change Coalition for gender equality, we’re committed to a fair and inclusive workplace where everyone can thrive.\nOur Team:\nHow we do things in Data Engineering is just as important as what we do. We foster a collaborative, inclusive team environment where people feel empowered, accountable, and deeply connected.\nYour responsibilities:\nEvolve the end-to-end data platform solution design including ingestion, storage, transformation and serving layers across\n\nthe organisation.\n\nLead the design of data lake and data mesh architectures ensuring scalability, fault tolerance and cost efficiency.\n\nDesign, build and maintain reusable frameworks, libraries and internal developer tooling to standardise and accelerate data pipeline development across teams.\n\nIdentify, engage and influence stakeholders including architecture disciplines, product owners, delivery owners, workload engineers and business SMEs to ensure data solutions are optimal and have the greatest chance of success.\n\nEnsure data pipelines and engineering processes adhere to existing engineering standards, have well-defined process controls and deliver an overall compliance reporting model.\n\nDrive adoption of DataOps principles including CI/CD for data pipelines, infrastructure-as-code, automated testing and observability.\n\nDesign to Run by ensuring data solutions support the operational reliability requirements of critical systems infrastructure.\n\nCollaborate with security and data office teams to embed data privacy, lineage tracking and regulatory controls into platform design.\n\nSupport a number of platform data engineers embedded in workload teams and play a key role in managing their deliveries and stakeholders\n\n10+ years of data engineering experience.\n\nProven track record of designing and operating large-scale data platforms and pipelines in AWS cloud environment.\n\nDemonstrated experience with enterprise data pipeline tooling (Apache Spark, dbt, Airflow), providing guidance on best practices and helping enable major programs to deliver business value.\n\nDeep expertise in distributed systems, batch and streaming data processing and modern data architecture patterns.\n\nA strong understanding of cloud engineering principles underpinned by design and development experience with AWS.\n\nKnowledge of data platform concepts including data lake, Data warehouse and Data Lakehouse patterns using technologies such as Redshift or Apache Iceberg.\n\nExperience with data infrastructure automation using Terraform.\n\nExperience with complex data structures and semi-structured data (JSON, Parquet, Avro, XML).\n\nExperience with Design Governance, taking responsibility for end-to-end data platform design across a large program of work, collaborating with Architecture, Engineering, Analytics and business stakeholders.\n\nNice to have:\nAt least 3 years in a lead data engineering role.\n\nExperience implementing data management capabilities in data platform frameworks.\n\nFamiliarity with tools such as Confluence, JIRA or ServiceNow.\n\nStrong sense of ownership, customer focus, and integrity demonstrated through proactive leadership and continuous improvement.\n\nPassionate about driving operational excellence and release engineering maturity.\n\nWe make hiring decisions based on your skills, capabilities and experience, and how you’ll help us to live our values. We encourage you to apply even if you don’t meet all the criteria of this role.\nIf you need any adjustments during the application or interview process to help you present your best self, please let us know at .\nAt ASX Group, our diverse workforce is essential to build and maintain a fair and dynamic marketplace. We support flexible working and offer hybrid working options. 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