Senior Data Engineer

Demant Polska; Denmark; On-site; DKK 1,000,000 - 1,300,000; Full time

Job summary

Demant is seeking a Senior Audiological Data Engineer to lead data infrastructure within its Audiological Solutions group in Denmark. You will drive data-driven development, collaborate with researchers and product teams, and help shape data architecture for future hearing instruments.

You will mentor colleagues, build scalable data pipelines, dashboards, and tooling, and ensure data quality, reliability, and accessibility across the organization.

Qualifications

• M.Sc. in Engineering or similar with a focus on data engineering, data science, ML, or related fields.
• Experience with audiological systems is an advantage.
• Strong analytical mindset and ability to navigate complex systems.
• Collaborative team player with trust and high-quality delivery.

Responsibilities

• Drive data-driven development by partnering with developers, researchers and product stakeholders to improve outcomes.
• Provide technical leadership as Lead Developer for data engineering initiatives.
• Build and scale data pipelines, datasets, dashboards, and developer tools; implement testing and data quality practices.

Skills

Data engineering

Stakeholder communication

Mentoring

Software development practices

Education

M.Sc. in Engineering

Tools

Python

SQL

Apache Spark

Git

Databricks

Job description

At Demant, we shape the future of audiological solutions to improve the lives of people with hearing loss. Within the Audiological Solutions group, we contribute across the hearing aid development lifecycle—from maturing and specifying advanced audio algorithms to enabling data-driven innovation. As we continue to strengthen our data-driven development approach, we are looking for a Senior Audiological Data Engineer to help drive this transformation.

The Role

You will join a small Data Insights team within the Audiological Solutions group. The team maintains and develops our data infrastructure in close collaboration with colleagues across the organization. We enable data to be used effectively in the development of audiological features for Oticon’s global hearing instrument portfolio.

In addition, the team supports developers and researchers with data analysis and training, ensuring that data is accessible, reliable, and actionable.

You will play a key role in advancing our data capabilities, acting as a lead developer within the team while helping shape our future data landscape. Our ambition is clear: to enhance hearing instrument performance through data-driven audiology.

Key Responsibilities

Drive data-driven development

• Partner with developers, researchers, and product stakeholders to identify opportunities where data can improve development and user outcomes
• Ensure access to high-quality, well-structured, and well-documented data
• Enable self-service data usage through training, mentoring, and reusable tools

Provide technical leadership

• Act as Lead Developer for data engineering initiatives in collaboration with the Product Owner
• Shape data architecture, governance standards, and platform best practices
• Collaborate across teams to align data capabilities and promote common standards

Build and scale data solutions

• Design and maintain data pipelines, datasets, dashboards, and developer-facing tools
• Implement testing, monitoring, and data quality practices to ensure reliability and scalability

What we are looking for

Professional competencies

• Strong background in data engineering and solid software development practices
• Ability to work across diverse stakeholders and communicate complex topics clearly
• Experience handling complex datasets with a focus on usability and reliability
• Proven ability to mentor and support teams in adopting data-driven practices

Technical skills

• Data modelling (e.g., medallion architecture, star schema)
• Proficiency in Python, SQL, and Apache Spark
• Experience with Git-based development workflows
• Experience with Databricks is an advantage
• Knowledge of testing, monitoring, and data quality frameworks
• Familiarity with Generative AI, LLM-based applications, or AI-assisted tools is a plus
• Fluent in English, both written and spoken

About you

You hold an M.Sc. in Engineering or similar, with a focus on data engineering, data science, machine learning, or related fields. Experience with audiological systems is an advantage.

• You have a strong analytical mindset and are comfortable navigating complex systems.
• You are a collaborative team player who values trust, openness, and high-quality delivery.
• You take ownership, communicate proactively, and are confident engaging with stakeholders across a large organization.

You are motivated by driving change and eager to contribute to building a stronger, more mature data-driven culture.

At Demant we value diversity, equity and inclusion (DE&I) and we are committed to creating an inclusive working environment. We welcome applications from all qualified candidates regardless of ethnic background, personality, age, gender, and education. Diversity is part of our cultural DNA. Women in STEM areas are particularly encouraged to apply, as Demant supports United Nations Sustainable Development Goal 5 on gender equality.

About Demant

Demant is a world-leading hearing healthcare and technology group built on a heritage of care, health, and innovation since 1904. The Group offers innovative technologies, solutions, and expertise to help people hear better. In every aspect, from hearing care, hearing aids and hearing implants to diagnostic equipment and services and audio solutions, Demant is active and engaged. Headquartered in Denmark, the Group employs more than 21,000 people globally and is present with solutions in 130 countries where we create life-changing hearing health and high-end audio and video solutions. William Demant Foundation holds the majority of shares in Demant A/S, which is listed on Nasdaq Copenhagen and among the 25 most traded stocks.