Auditdata

Data Engineer

• Define and evolve the group data platform architecture - evaluate and select the target Azure stack (Azure SQL, Synapse, Fabric) and own the migration roadmap to it.
• Design the multi-source integration architecture: ingestion from multiple products with heterogeneous schemas, using an integration-layer pattern suited to many sources (medallion/lakehouse or Data Vault) beneath a dimensional serving layer.
• Address multi-region and data residency requirements: regional hosting, cross-border transfer constraints, GDPR and local privacy law, tenant and country-level data isolation.
• Collaborate with Infrastructure Architects on storage, compute, performance, and Azure cost optimization across regions.
• Design and maintain the three modeling layers: raw/integration (multi-source harmonization), canonical/master data (shared entities such as clinic, patient, device, product across products and countries), and serving (Kimball fact/dimension models optimized for Power BI).
• Define master data management approach: entity matching, survivorship, and golden-record rules across products.
• Optimize analytical models for performance (incremental refresh, partitioning, query tuning).
• Design, build, and maintain ETL/ELT pipelines consolidating data from product services into the platform.
• Build and tune Power BI semantic models and support dashboard development.
• Implement data quality, lineage, and observability - monitoring, alerting, reconciliation checks across sources.
• Collaborate with Domain Architects and product teams to define data contracts and export interfaces from operational services.
• Govern data ingestion - accuracy, performance, and alignment with security and privacy policies.
• Establish and run group data governance: ownership, definitions (a shared business glossary across products), metadata management, documentation, and schema versioning.
• Contribute to ADRs, data architecture diagrams, and data governance documentation.
• Support customer data migration into Manage from legacy systems - mapping, transformation, and validation approaches.
• Define reusable migration tooling and quality gates in collaboration with onboarding/delivery teams.
• Work with business stakeholders across products and countries to translate analytical needs into platform capabilities and data models.

Data Architect

Full-stack Engineer

• Design, develop, and maintain features for audiometry testing modules and web services
• Build WPF-based user interfaces (MVVM) and Blazor Server components
• Develop and enhance REST APIs
• Work closely with Product Owners to analyze requirements and provide technical solutions
• Collaborate with hardware and firmware teams to ensure software-hardware alignment
• Write comprehensive unit tests with high coverage (≥80% for new code) and documentation
• Ensure product architecture and code quality meet high standards
• Perform code reviews focusing on safety, correctness, and compliance
• Solve complex, technically challenging problems within the products

Software Engineer – C#

Software Engineer, C# – Desktop App

Account Manager

• Lead marketing efforts in the US and Canada
• Drive brand awareness, demand generation, and pipeline for Practice Management Software
• Own ABM Strategy & Execution, build and refine target account list
• Design and run personalized ABM plays
• Partner deeply with Sales teams on account planning and joint outreach
• Implement a measurement framework to track ABM effectiveness
• Position Auditdata Manage as the go-to PMS solution
• Execute across the marketing mix, own projects end-to-end
• Lead high-value marketing moments like roundtables and industry events
• Select, implement, and optimize ABM tech stack in collaboration with MarOps

Account-Based Marketing Manager – Hearing Care Practice Management

Sales

• Spend significant time in the field conducting joint sales calls, product demonstrations, and training sessions with partner sales teams and end customers.
• Proactively identify, develop, and close new business opportunities while supporting existing partners.
• Maintain a robust pipeline in our CRM (Salesforce), provide accurate forecasts, and track progress with discipline.
• Work closely with relevant team members based in North America and our corporate headquarters in Copenhagen.
• Attend and contribute at key industry trade events, representing Auditdata professionally.

Sales Manager – Audiometry, Hearing Aid Fitting Solutions

Product Manager

• Own the AI product roadmap - break it down into features that can ship fast and deliver real value, not science projects.
• Work with engineering to evaluate what's feasible - you understand LLMs, APIs, and agentic patterns well enough to scope realistically.
• Talk to customers, sales, and customer success to understand where AI can solve actual problems
• Define what success looks like before building starts - clear metrics, clear outcomes, clear way to know if it worked.
• Partner with product management to shape the AI vision and make sure the roadmap connects to company strategy.
• Ship iteratively - get features in front of users early, learn fast, and adjust.

Product Owner – AI Services

QA Engineer

• Build and maintain automated UI tests (Playwright/TypeScript) with a focus on reliability and speed.
• Create and maintain automated API tests (CRUD, auth, edge cases) and support debugging with Postman-like tools.
• Define practical test strategies for features (test pyramid, risk-based coverage) and write clear test plans/cases when needed.
• Investigate failures (test flakes, environment issues, regressions) and drive fixes with engineers.
• Improve CI quality gates (smoke/regression suites, reporting, triage flow).
• Partner with Product + Engineering from spec → release → post-production support.
• Use AI-assisted tools (e.g., coding assistants) to accelerate test creation without sacrificing maintainability .