Data Platform Engineer

EHPlabs; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Generous parental leave

Fun, high-performance culture

Discounted EHPlabs supplements

Job summary

EHPlabs is seeking a hands-on Data Platform Engineer to own a modern cloud data platform on Google Cloud. You will build and run pipelines from NetSuite, Shopify and marketing feeds into BigQuery, and serve internal apps, dashboards and AI tools.

You will work across data engineering, governance and IT operations, owning pipelines, data quality, access controls and runbooks, with a bias for practical, well-documented changes and security.

Qualifications

• Demonstrated SQL and data modelling capability (1–3 years or equivalent).
• Strong, hand-written SQL with advanced techniques (joins, window functions, CTEs).
• Experience building SQL views and data models over a warehouse.
• Familiarity with data from multiple sources (ERP/e-commerce) and validating outputs.
• Scripting ability (Python) for automation and data checks.
• Git and basic deployment workflows.
• Governance mindset: access control, data residency, environment separation.

Responsibilities

• Operate and monitor data ingestion into BigQuery from NetSuite, Shopify and marketing platforms; manage connectors and scheduled jobs.
• Build and maintain the SQL transformation layer for clean, business-ready datasets.
• Support internal applications, dashboards and AI tooling by preparing datasets and validating outputs.
• Track data quality and resolve discrepancies with data owners.
• Document pipelines, datasets and runbooks to ensure maintainability.
• Contribute to onboarding new data domains and tools as the platform expands.

Skills

SQL

Data modelling

Git

Python scripting

Documentation

Hands-on

Data governance

Education

Data-related degree or bootcamp

Tools

BigQuery

dbt

NetSuite

Shopify

Google Workspace

Job description

We are on the hunt for a hands‑on data engineer who loves clean SQL and wants real ownership of a modern cloud data platform. If you are sharp with data, early in your career and hungry to learn, and happy to build a pipeline in the morning and set up a laptop in the afternoon, we want you to join our team.

About the Role:

The Data Platform Engineer is responsible for building and running EHPlabs' governed data platform on Google Cloud. The platform takes trusted data from NetSuite, Shopify and our marketing platforms, lands it in BigQuery, and serves it to internal applications, reporting and AI tools. It is live in pilot and about to scale across the business.

This role sits at the intersection of data engineering, access governance and IT operations. You will engineer the data, including pipelines, transformations, quality and the datasets the business runs on. You will also administer access, meaning who and what can reach our systems and data, across every region we operate in.

Trusted data is the product. Controlled access is the guardrail.

Success in this role means reliable pipelines, clean and validated datasets, and a business that can move fast on data without compromising security.

Responsibilities:

Data platform engineering

• Operate and monitor data ingestion into BigQuery from NetSuite, Shopify and marketing platforms — managed connectors and scheduled jobs — including freshness, failures, schema changes and deletions.
• Build and maintain the SQL transformation layer that turns raw source data into clean, business‑ready datasets, following the platform’s modelling and naming conventions.
• Support the consumers of the platform — internal applications, dashboards and AI tooling — by preparing datasets, answering data questions and validating outputs against source systems.
• Track and report data quality against agreed measures, and work with business data owners to investigate and resolve discrepancies.
• Document pipelines, datasets, decisions and runbooks so the platform stays maintainable and is never dependent on one person.
• Contribute to evaluating and onboarding new data domains and tools as the platform expands.

Access and identity

• Administer access to the data estate: dataset and view level permissions by application, team and region, on a least‑privilege basis.
• Administer user identity and accounts across Google Workspace and Microsoft 365 — creating, changing and removing accounts and group memberships as part of joiner, mover and leaver processes, working with People & Culture.
• Uphold the platform’s governance standards in everything you build: no credentials in code, environment separation, sandbox before production, and data residency requirements.
• Support periodic access reviews across systems and data.

IT operations

• While the technology team is small, this role also covers a defined set of day‑to‑day IT operations tasks:
• Device provisioning and lifecycle — setting up Mac and Windows laptops, enrolling them in mobile device management, applying standard configuration, and handling return and wipe on exit.
• Day‑to‑day administration of our endpoint management and endpoint security tooling.
• First‑line support for staff device and access issues, escalating to our managed service partner where needed.

About you:

• Demonstrated SQL and data modelling capability — whether through one to three years of commercial experience, a data‑focused degree or bootcamp, or work you can walk us through. Experience level is negotiable; SQL fluency and sound data judgement are not.
• Strong, hand‑written SQL — joins, window functions, CTEs, data type handling, and the judgement to know when a query is wrong even though it runs, without relying on a drag‑and‑drop tool.
• Experience building and maintaining SQL views and data models over a relational database or warehouse. The specific platform matters far less than the modelling discipline.
• You have worked with data extracted from a source system you did not control, and have had to check — and defend — that your output matched the source.
• Working knowledge of a scripting language, ideally Python, for automation and data checks.
• Comfort with Git and a basic deployment workflow.
• Practical care for governance — access control, handling of personal data, and keeping environments separate.
• Comfortable setting up laptops and administering user accounts, or clearly willing and able to learn it quickly.
• Clear written communication — you document what you build and explain data issues plainly to non‑technical colleagues.
• A genuinely hands‑on approach. In a small team, the person who builds the pipeline is often the person who sets up the laptop, and both matter.
• Full working rights in Australia.
• Hands‑on experience with a cloud data warehouse — BigQuery preferred; Snowflake, Redshift or Synapse also relevant.
• dbt or a similar SQL transformation framework.
• Exposure to ERP or e‑commerce data — NetSuite, Shopify, or marketing and advertising platforms.
• Google Workspace or Microsoft 365 administration, and mobile device management tooling.
• Interest in applied AI over business data — connecting language models to governed datasets.

About EHPlabs:

At EHPlabs we are about leading health and fitness through our ethos of ‘we rise by lifting others’. Our prefix 'EHP' stands for 'Empowered Human Potential' as we believe in empowering our community with the tools and vital information to make better‑informed decisions leading to healthier, happier lifestyles.

Since our launch in 2012 we are proud to have positively impacted millions of people's lives through our industry‑leading fitness supplements as well as our high‑impact marketing through digital channels.

We are a team of passionate people who strive for continuous and never‑ending improvement. To learn more about us please visit our website: http://ehplabs.com

Benefits of working for EHPlabs:

• Generous paid parental leave to support growing families.
• Fun, supportive, high‑performance culture
• Discounted supplements, energy drinks and protein bars

Note: To be considered for this role, you must have the right to live and work in Australia.