Lead Data Engineer (individual contributor role)

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.

As a Data Engineer, you will design, build, test, automate, and continuously enhance our Data Platform, evolving it into a scalable, company-wide Self-Service Data Platform. You will enable teams across the organization to develop, operate, and consume high-quality, reliable, and compliant data products independently.

In addition, you will contribute to AI enablement by supporting data pipelines, AI model management, and API development. Working closely with data scientists, software engineers, enterprise architects, and business stakeholders, you will help establish the data foundations required for advanced analytics, predictive models, and AI-driven solutions.

Your work will directly contribute to data-driven innovation in a regulated medical technology environment, where data quality, security, traceability, and regulatory compliance are essential.

What you will do

• Data Platform Engineering: Build, maintain, and continuously improve a scalable, automated Self-Service Data Platform that enables teams to develop and operate data products efficiently.

• Data Product Development: Design, implement, and operate reliable data products for regulatory reporting, operational insights, and advanced analytics.

• Data Pipeline Automation: Develop and optimize automated data ingestion, transformation, aggregation, and ETL/ELT workflows across multiple source systems.

• AI and Machine Learning Enablement: Provide high-quality data pipelines and infrastructure to support AI model development, deployment, lifecycle management, and integration into operational systems.

• API and Data Integration: Develop and maintain APIs and data interfaces that enable secure, reliable, and efficient data exchange between systems and applications.

• Data Quality and Governance: Implement data quality controls, validation mechanisms, monitoring, and traceability to ensure data integrity, consistency, and fitness for purpose.

• Privacy and Regulatory Compliance: Ensure that data solutions comply with applicable data privacy, information security, and regulatory requirements in the medical technology environment.

• Cross-Functional Collaboration: Work closely with data scientists, software engineering teams, enterprise architects, and business stakeholders to identify requirements and deliver reusable data solutions.

• Documentation and Data Lineage: Maintain comprehensive technical documentation, data mappings, metadata, and end-to-end data lineage across systems and data products.

• Technology and Automation: Evaluate and introduce technologies, engineering practices, and automation approaches that improve platform scalability, developer productivity, and operational reliability.

What you bring

Technical Skills

• Bachelor's degree in computer science, Software Engineering, Data Engineering, or a related field, or equivalent practical experience with work experience ranging between 6-9 years.

• Experience building and maintaining data pipelines, data integration solutions, and automated ETL/ELT workflows.

• Hands-on experience with data ingestion and integration tools such as Fivetran, Stitch, Matillion, or comparable technologies.

• Experience with cloud-based data platforms and data warehouse technologies such as Snowflake, Amazon Redshift, Google BigQuery, or Microsoft Azure data services.

• Proficiency in Python, Java, Scala, or another suitable programming language.

• Working knowledge of data pipeline orchestration and workflow management tools such as Apache Airflow or comparable technologies.

• Experience with API development, data integration patterns, and distributed data processing.

• Understanding of data modeling, data architecture, data quality management, and data lifecycle concepts.

• Experience supporting AI and machine learning solutions, including the preparation, integration, and management of data for AI models.

• Familiarity with automated testing, CI/CD, infrastructure automation, monitoring, and software engineering best practices.

Data Governance and Compliance

• Understanding of data privacy, information security, and regulatory compliance requirements.

• Ability to implement data quality controls, data validation, traceability, and documentation practices.

• Experience working with sensitive or regulated data is an advantage, particularly in medical technology or other regulated industries.

Professional Skills

• Strong analytical, problem-solving, and troubleshooting skills, with the ability to translate complex requirements into robust technical solutions.

• Excellent organizational and time management skills, with the ability to prioritize competing demands and critical workflows.

• Effective written and verbal communication skills and the ability to collaborate across technical and business teams.

• A proactive, quality-oriented mindset, with a focus on automation, continuous improvement, and reusable engineering solutions.

• Ability to work independently while contributing effectively to a collaborative, cross-functional environment.

• A strong sense of responsibility when handling sensitive information and ensuring the reliability of data-driven solutions.

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.