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Day 34
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Brisbane, QLD
Live, first seen by us 34 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting.
Serve as a data product owner for business-facing dashboards and insights tools - ensuring they align with stakeholder needs and drive measurable impact.
Own business-facing dashboards and insights tools, aligned to stakeholder needs
Build and maintain scalable analytics pipelines in Azure Databricks
Design dashboards tracking client engagement, retention and renewals
Create well-documented dimensional data models for reporting and forecasting
Gather requirements and define key metrics with business teams
VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for someone who has hybrid experience in data engineering and data analysis to help shape the future of the VALD Data Lakehouse.
Serve as a data product owner for business-facing dashboards and insights tools - ensuring they align with stakeholder needs and drive measurable impact.
Serve as a data product owner for business-facing dashboards and insights tools
Build and maintain scalable analytics pipelines in Azure Databricks
Design, develop, and own dashboards that track client engagement, retention, renewals
create scalable, well-documented data models for use across reporting and forecasting tools
gather requirements, define key metrics and build reliable, trusted datasets
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 34
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- Has a strong passion for improving business outcomes and delivering measurable value through data - Brings proven experience as an Analytics Engineer, building trusted, scalable data models on platforms such as Azure Databricks and Azure SQL (or similar) - Partners with, and effectively manages stakeholders to translate business questions into clear, actionable data solutions
- Partners with, and effectively manages stakeholders to translate business questions into clear, actionable data solutions - Is highly proficient in Spark SQL, PySpark, and T-SQL (or similar) for transforming and modelling data to support commercial analytics use cases - Designs and delivers high-quality semantic models and dashboards (Databricks, Power BI or similar), with a strong focus on metric definition and usability
- Design, develop, and own dashboards that track client engagement, retention, renewals - delivering clear, actionable insights to the Commercial and Customer Success teams. - Build and maintain scalable analytics pipelines in Azure Databricks to support client-facing and internal reporting across the commercial function. - Apply best practices in analytics engineering and dimensional modelling to create scalable, well-documented data models for use across reporting and forecasting tools.
- Is highly proficient in Spark SQL, PySpark, and T-SQL (or similar) for transforming and modelling data to support commercial analytics use cases - Designs and delivers high-quality semantic models and dashboards (Databricks, Power BI or similar), with a strong focus on metric definition and usability - Has deep experience with dimensional (Kimball) data modelling to support analytics at scale
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Years on from its humble beginnings in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the role
VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for someone who has hybrid experience in data engineering and data analysis to help shape the future of the VALD Data Lakehouse.
In this role, you will
What we are looking for
Our ideal candidate has:
Why VALD?
You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing.
We have a range of benefits we offer to our team, such as:
Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Apply now
We can't wait to meet you and discuss what a career with VALD could look like for you!
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
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Brisbane, QLD
About the role VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for someone who has hybrid experience in data engineering and data analysis to help shape the future of the VALD Data Lakehouse. In this role, you will
- Chefs that prepare you delicious fresh breakfast and lunch. - An on-site barista to make your coffee just as you like it. - A team gym, masseuse, and access to physiotherapy and exercise physiology services.
No clear work-authorization passage found. Eligibility is unconfirmed.