VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 5,000 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 220 team members in 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 an experienced data engineer to help shape the future of the VALD Data Lakehouse.

In this role, you will:

• Maintain the health of VALD's data ingestion and transformation pipelines in Azure Databricks.

• Add new data sources, implement business rules, and produce new metrics to provide users with greater insights, supporting key business decisions.

• Work closely with the Product team to develop new data models for VALD's expanding product suite, following best practices in Kimball dimensional modelling.

• Partner with the Data Science team to build new solutions that extend VALD's leadership in human movement technology, including normative data serving, secure client data sharing, and MLOps infrastructure.

• Use vendor tools to monitor and improve the data quality and security in the Databricks lakehouse.

• Serve as a data domain expert with an in-depths understanding of our products

This role is a fantastic opportunity within a fast-growing team. It's suited to someone with a positive attitude who thrives in a fast-paced, high-pressure environment. The ideal candidate will bring:

• Proven data engineering experience with Azure technologies, including Azure Databricks, Azure SQL Database and Azure Data Lake Storage.

• Proficiency in Spark SQL, PySpark, and T-SQL programming languages.

• Ability to create semantic models, measures, and dashboards in Power BI, including DirectQuery connections.

• Strong written and verbal communication skills.

• Experience developing CI/CD pipelines and following DevOps best practices.

This role will be based in Brisbane. You must have full working rights in Australia.

Why VALD?

An opportunity to be part of revolutionizing the health and performance industries is just the beginning when you join VALD.  Named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.

We have a range of benefits we offer to our team, such as:

• Industry-leading compensation with healthy performance-based incentives.

• The opportunity to work in a company that is redefining allied healthcare.

• Learn from a range of high-performing individuals and teams across a range of disciplines.

• Be part of a down-to-earth, inclusive and vibrant team

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

In your cover letter, please share with us why you think your experience is relevant to this role and how this opportunity fits into your longer-term career goals. 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)