Analytics Engineer - Databricks

Different Technologies Pty Ltd.; City of Brisbane; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Casual work attire

Breakfast & lunch on site

On-site barista

Team gym and masseuse

Job summary

VALD is a world leader in allied health technology, seeking an Analytics Engineer to shape the VALD Data Lakehouse. You will own business-facing dashboards, build reliable data sets, and partner with Commercial, Product and Customer Success teams to drive measurable impact.

You will design scalable analytics pipelines in Azure Databricks, apply dimensional modelling, and champion data quality and governance across data assets, enabling trusted insights for client engagement and renewals.

Qualifications

• Analytical engineer with proven experience building scalable data models on Azure Databricks and Azure SQL.
• Ability to translate business questions into clear, actionable data solutions and manage stakeholders.
• Strong SQL skills (Spark SQL, PySpark, T-SQL) and data modelling knowledge.

Responsibilities

• Serve as a data product owner for dashboards and insights tools aligned with stakeholder needs.
• Collaborate with Commercial, Product, and Customer Success to define metrics and datasets.
• Design and own dashboards tracking client engagement, retention, and renewals for decision-making
• Build and maintain scalable analytics pipelines in Azure Databricks for reporting.
• Apply analytics engineering and dimensional modelling to create scalable data models.
• Improve data generation processes across domains like product usage and commercial performance.

Skills

Analytics engineering

Stakeholder management

Data modelling

Spark SQL

PySpark

T-SQL

Power BI

Databricks

Dimensional modelling

MDM

Data governance

Tools

Azure Databricks

Azure SQL

Databricks

Power BI

Job description

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

• Serve as a data product owner for business-facing dashboards and insights tools - ensuring they align with stakeholder needs and drive measurable impact.
  
• Partner with Commercial, Product, and Customer Success teams to gather requirements, define key metrics and build reliable, trusted datasets that power self-serve analytics and business decisions.
  
• 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.
  
• Work with the business to continuously improve data generation processes across key domains including product usage, client health, and commercial performance.

What we are looking for

Our ideal candidate has:

• 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

• 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

• Champions data quality, governance, and Master Data Management (MDM) to ensure consistency, accuracy, and trust across data assets

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:

• The opportunity to work in a company that is redefining allied healthcare.
  
• Working with a range of high-performing individuals and teams across a range of disciplines.
  
• Working with contemporary tooling on industry first applications.
  
• Casual work attire.
  
• 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.

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.

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.