Driven by the passion to improve quality of people’s lives, WSA continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We're looking for a Senior Data Engineer to design, build, and optimise modern data pipelines on our Azure data platform. You'll play a key role in delivering high-quality, production-ready data products, working closely with architects, analysts, and fellow engineers to create scalable, governed, and reliable data solutions.

What you will do

• Pipeline development & implementation

  • Design, build, and maintain ETL/ELT pipelines across Bronze, Silver, and Gold layers using Azure Databricks, PySpark, and Delta Lake.

  • Develop data ingestion, transformation, cleansing, and enrichment processes.

  • Write unit tests and deliver robust, production-ready data pipelines.

• Data quality & observability

  • Implement automated data quality checks and validation frameworks.

  • Monitor pipeline health, freshness, and completeness.

  • Investigate and resolve data quality and production issues to maintain trusted data.
    Platform operations & CI/CD

    • Manage Databricks Asset Bundle deployments and environment promotion across development and production.

    • Optimise Spark jobs, cluster performance, and platform costs.

    • Support platform reliability, monitoring, and operational excellence.

  • Collaboration & requirements

    • Work closely with the Data Architect to implement scalable technical solutions.

    • Partner with Systems Analysts to translate business requirements into data solutions.

    • Contribute to the delivery of trusted and certified Gold layer data products.
      Technical documentation

      • Maintain clear documentation for pipelines, data contracts, configurations, and engineering standards.

      • Contribute to technical runbooks and knowledge sharing across the team.

What you bring

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field (Master's preferred).

• 5–8 years of experience in Data Engineering or a related engineering role.

• Experience building and supporting enterprise-scale cloud data platforms and production data pipelines.

• Knowledge of CI/CD practices and operational support for data engineering solutions.

Technical skills

• Strong expertise in Azure Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Lake Storage Gen2.

• Proficiency in Python, SQL, data modelling, and Medallion Architecture.

• Experience with Databricks Workflows, Databricks Asset Bundles, Git, Azure DevOps, and CI/CD pipelines.

• Knowledge of Azure Monitor, Log Analytics, Azure Key Vault, pytest, data quality frameworks, and performance optimisation.

• Working knowledge of Bicep, Unity Catalog, data contracts, and modern data governance practices.

Personal competencies

• Takes ownership of delivering reliable, production-ready data solutions.

• Passionate about data quality, performance, and continuous improvement.

• Writes clean, maintainable, and well-tested code.

• Proactively identifies opportunities to improve platform reliability and efficiency.

• Collaborates effectively and shares knowledge across the engineering team.

Who we are

At WSA, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WSA is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.