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Salary
≈ $18k – $43k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. WS Audiology scores B on the Alion truth index.

Overview
Company
Impact
Profile match
WS Audiology is a hearing aid manufacturer headquartered in Lynge, north of Copenhagen, Denmark, formed in 2019 by the merger of Sivantos and Widex and now trading under the WSA name. It employs more than 12,000 people in 45 offices, runs research and development facilities in Denmark, Germany, India and Singapore, and serves hearing care professionals and consumers worldwide with hearing aids and hearing health services. This record's board covers the Asia-Pacific region, hiring software, AI and test automation engineers, product managers, device and manufacturing engineers, interns, analysts and customer care coordinators in Singapore, Australia and New Zealand.

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 are looking for a cloud developer to join our Data & AI department as a dedicated internal resource in India, delivering global projects. You will report to the Data Products Lead, Data & AI and collaborate with Global IT functions on a range of data products topics

What you will do

  • Develop Databricks notebooks in PySpark and SQL to ingest, clean, transform and enrich data across the bronze, silver and gold layers

  • Design and build reusable, well-documented data products that are aligned with business needs

  • Build and maintain the serving layer, including gold tables, Databricks SQL warehouses, views and data models for BI tools

  • Work with business stakeholders to gather and refine requirements and translate them into technical specifications

  • Ensure data quality through validation, testing and monitoring, and optimise pipeline performance and cost

  • Contribute to data governance with Unity Catalog, and support the team through code reviews, mentoring junior developers and setting technical standards.

What you bring

  • 5+ years of relevant experience in data engineering or cloud development, with a university degree in computer science, information technology or similar

  • Good hands-on experience with PySpark and SQL on Databricks across the medallion layers, where experience with Auto Loader, structured streaming or Spark declarative pipelines is advantageous

  • Experience building data products and serving layers, such as curated gold tables, Databricks SQL warehouses and data models for BI tools

  • Solid understanding of data quality, performance and cost optimisation, and pipeline orchestration with Databricks Workflows

  • Familiar with good practices in code quality, including Git, code reviews, CI/CD and documentation, and with data governance in Unity Catalog

  • Ability to work with business stakeholders to refine requirements, and to mentor junior developers.

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.

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