Posted on: March 23, 2026
Are you visionary – and would you like to steward, shape and evolve our enterprise data foundation architecture to into a scalable, intelligent powerhouse that enables autonomous capabilities at scale – in a globally recognized innovator in audio, video, gaming, and hearing solutions? Then you might be our new colleague.
As our Lead Data Engineer, you will architect, design, and enable the future of our data ecosystem to enable next‑generation analytics, AI-driven automation, and autonomous digital capabilities across the organization.
This is a role for someone who combines advanced technical skill with strategic thinking — someone who wants to build not just pipelines, but an entire data platform that becomes a business differentiator.
The team you will be part of:
At our global HQ, located in Ballerup, Denmark, you will join the global Data Foundation team and report to the Head of Department, Neeti Tewary.
The team supports our digital ecosystem by delivering scalable platforms that enable real-time decision-making, personalization, operational excellence, and an AI-ready foundation for future use cases.
You will work in a hybrid work environment with colleagues located across the world, as part of our global Digital, Data and IT (DDI) organisation.
Your contribution is appreciated, and you will:
Shape and evolve GN’s end‑to‑end data platform architecture across batch, streaming, hybrid, and OneLake‑based domain data products.
Set enterprise data and architecture standards for all data types, including modelling, readiness zones, privacy, and controls.
Define foundational patterns for advanced AI/ML enablement, including RAG, real‑time features, vector indexing, and graph‑augmented reasoning.
Establish standards for reliability and governance, covering observability, telemetry, lineage, quality gates, and auditability.
Lead, mentor, and align teams across Product, Platform, and ML to ensure cohesive roadmaps and architectural decision-making.
To thrive in the role, we imagine that you have:
10–15+ years building and evolving enterprise-scale distributed data platforms
Demonstrated capability to shape architecture across domains and encourage widespread adoption through collaboration
Cloud experience (Azure preferred; other clouds accepted)
Batch + streaming experience (Spark, Kafka/Event Hubs, Flink, etc.) and hybrid real-time + analytical architectures
Practical knowledge of semantic modeling, embeddings, knowledge graphs, and vector search; experience with retrieval-augmented context enrichment/orchestration patterns
Advanced governance and observability experience (quality frameworks, access control, lineage, compliance, auditability)
Engineering foundation: Python/Java/Scala, Spark/PySpark, SQL optimization, performance tuning
Clear, executive-level communication and stakeholder alignment skills.
Rational approach to problem solving in combination with a curiosity and a learning mindset.
Candidates with experience within these platform stacks are encouraged to apply
Microsoft Fabric (OneLake/Lakehouse/Warehouse), ADLS, Spark.
Purview.
Git-based CI/CD and release gates.
Azure AI Search-style indexing patterns.
RBAC/ABAC, managed identities, audit logs, PII-safe views/masking.
On an individual level, we expect you to bring a strategic mindset—capable of balancing long-term vision with pragmatic, scalable technical choices. You also have a collaborative, mentoring approach to working with engineering teams. You can also navigate a complex, global organisation with many stakeholders and shifting priorities.
We encourage you to apply
Even if you don’t match all the above-mentioned skills, we will gladly receive your application if you think you have transferrable skills. We highly value a mindset, motivation, and energy, that aligns with our core values, to not only ensure success for you, but for your team and the wider GN organization as well.
We are dedicated to an inclusive recruitment process
All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process.
Should you have any special requirements for the Interview please let the hiring manager know upon accepting invitation to interview.
How to apply?
Use the ‘APPLY’ link no later than 19th of April 2026. Applications are assessed on a continuous basis, so don’t wait to send yours.
On a time crunch? Feel free to only submit your up-to-date CV including a few sentences outlining your motivation for applying – quick and easy.
If you would like to know more about the position, please contact Head of Data Foundation, Neeti Tewary on +45 91 80 37 50.
Join us in bringing people closer
GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses and provide great experiences for audio and gaming enthusiast.
We hope you will join us on this journey and look forward to receiving your application.
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