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AU: Sydney (45 Clarence St) · AU: Melbourne: (260 Burwood Rd) · Sydney, New South Wales, Australia
Actively hiring, first seen by us 1 day agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Data, AI & Machine LearningFrom the employer’s posting
Design and maintain a governed semantic layer in Snowflake
Build and test dbt models and snapshots for monthly financial and workforce reporting
Consolidate new revenue streams from recent acquisitions into a single model
Help shape the AI and agentic layer for conversational access to G&A data
Translate Finance, Legal and People questions into trusted data products
design and maintain a governed semantic layer in Snowflake
Building and testing dbt models and snapshots that support our monthly financial and workforce reporting cycles
Bringing new revenue streams from recent acquisitions into a single, consolidated model
helping shape the AI and agentic capabilities that give people conversational access to that data
translating their questions into data products that are genuinely trusted and easy to use
You will bring hands-on experience building SQL data models
with dbt as your tool of choice for testing, documentation and snapshotting
Validating your own outputs comes naturally to you, and you are comfortable standing behind the numbers a model produces
Curiosity about how AI can make data more accessible will serve you well here
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Here are some of the things we're looking for, for this role - You will bring hands-on experience building SQL data models, with dbt as your tool of choice for testing, documentation and snapshotting - Validating your own outputs comes naturally to you, and you are comfortable standing behind the numbers a model produces
The team is currently working on - Snowflake and dbt as the backbone of our data platform, alongside an emerging agentic and AI layer built on reusable skills and MCP integrations - Bringing new revenue streams from recent acquisitions into a single, consolidated model so we can report Xero's performance consistently
- Bringing new revenue streams from recent acquisitions into a single, consolidated model so we can report Xero's performance consistently - Building and testing dbt models and snapshots that support our monthly financial and workforce reporting cycles - Extending our semantic layer so more of G&A's reporting can be answered conversationally, with the right guardrails in place
The role and its impact As a Data Engineer in our G&A Data & Analytics team, you will build the data products, pipelines and semantic layers that power decision making across Finance, People Experience and Legal. You will design and maintain a governed semantic layer in Snowflake, translating business concepts into metrics, dimensions and definitions that make data easy to trust and simple to use, while also helping shape the AI and agentic capabilities that give people conversational access to that data. The numbers you help produce matter well beyond the team, feeding financial performance insights, workforce reporting and figures that are shared with our Executive Leadership Team, our Board and, ultimately, the market. It is a role with real visibility and real stakes, where the quality and reliability of your work directly shapes how confidently Xero can report on its own performance.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
As a Data Engineer in our G&A Data & Analytics team, you will build the data products, pipelines and semantic layers that power decision making across Finance, People Experience and Legal. You will design and maintain a governed semantic layer in Snowflake, translating business concepts into metrics, dimensions and definitions that make data easy to trust and simple to use, while also helping shape the AI and agentic capabilities that give people conversational access to that data.
The numbers you help produce matter well beyond the team, feeding financial performance insights, workforce reporting and figures that are shared with our Executive Leadership Team, our Board and, ultimately, the market. It is a role with real visibility and real stakes, where the quality and reliability of your work directly shapes how confidently Xero can report on its own performance.
The G&A Data & Analytics team exists to empower Xeros across Finance, People Experience (PX) and other G&A functions with trusted data, analytics and AI‑driven insights that improve performance outcomes. We design, build and maintain data products and analytical capabilities that underpin Xero’s internal decision‑making – from financial performance and workforce health through to operational efficiency and strategic trade‑offs.
Snowflake and dbt as the backbone of our data platform, alongside an emerging agentic and AI layer built on reusable skills and MCP integrations
Bringing new revenue streams from recent acquisitions into a single, consolidated model so we can report Xero's performance consistently
Building and testing dbt models and snapshots that support our monthly financial and workforce reporting cycles
Extending our semantic layer so more of G&A's reporting can be answered conversationally, with the right guardrails in place
We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.
You will bring hands-on experience building SQL data models, with dbt as your tool of choice for testing, documentation and snapshotting
Validating your own outputs comes naturally to you, and you are comfortable standing behind the numbers a model produces
Curiosity about how AI can make data more accessible will serve you well here, as you help shape the conversational and agentic layer we are building in G&A
You will Go Together with Finance, Legal and People teams, translating their questions into data products that are genuinely trusted and easy to use
Acting as a senior voice in the team comes naturally, whether that is sharing patterns, mentoring others or helping set a consistent standard for how we build
You will Go Further by looking past the obvious answer to find a simpler, more reliable way to model or validate a piece of G&A's data
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
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Sydney, New South Wales, Australia
Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role
No clear work-authorization passage found. Eligibility is unconfirmed.