Data & AI Platform Engineer

Data & AI Platform Engineer

Join us in one of the most interesting challenges in Data Engineering in 2025: Crafting a Data & AI platform that makes creating and using data products a seamless and fast experience. We provide the platform for teams across consumer engagement, supply chain, finance, merchandising, and manufacturing domains to build data, analytics, and AI products for the world's largest jewellery company. As a Data & AI Platform Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure and platform essential for scaling our data impact across the organization. Your contribution will be pivotal in creating a secure and private data platform, delivering SDKs that speed up data product deliveries, ensuring seamless creation of resources, and creating robust automated deployment flows.

Key Responsibilities

• Build and maintain platform services, shared libraries, and components that power the Data & AI platform.
• Implement and support AI/GenAI service deployments (model endpoints, vector databases, feature stores) under established guardrails.
• Automate resource provisioning and access patterns to make data products quick to create and easy to consume.
• Develop integrations across batch, streaming, and ML/AI workloads using approved patterns and data contracts.
• Build CI/CD pipelines, tests, and release automations for data pipelines and ML workloads; improve developer experience.
• Configure and operate DevOps tooling (IaC, secrets, orchestration, observability); create useful dashboards and alerts.
• Collaborate with stakeholders to refine requirements; write clear documentation and participate in demos and support rotations.

Your skills & Background

• Solid experience delivering end-to-end systems as a Data/Platform/MLOps/DevOps Engineer.
• Strong software engineering skills in distributed, multi-language environments and collaborative code practices.
• Fluency in Python and experience shipping production-grade services or pipelines.

• Hands-on with Infrastructure as Code (Terraform) and reusable modules/patterns.
• Experience with cloud data systems: Databricks/Spark, SQL/NoSQL stores, object storage, and data lake/lakehouse concepts.
• Ability to build API-based integrations and contribute to platform SDKs or internal tooling.
• Familiarity with one or more workflow/orchestration tools (Airflow, Databricks Workflows, Prefect, or Dagster).
• Working knowledge of CI/CD, automated testing, and release engineering for data and ML workloads.
• Basic security and privacy practices (IAM, secrets management, network basics) and willingness to deepen expertise.
• Exposure to observability (Prometheus, Grafana, New Relic, ELK) and data quality/lineage tooling.
• Awareness of FinOps principles and an interest in building cost-efficient solutions.
• Effective communication, documentation, and collaboration with cross-functional partners.

Education & Experience

• 2–6 years experience building production-quality software & data products.
• Bachelors or Masters degree and/or equivalent professional experience

Did we get your attention?    

We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com.     

Icing on the cake     

Pandora is the world’s largest jewellery brand, specializing in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 6,800 points of sale, including more than 2,700 concept stores.

Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide and crafts its jewellery using only recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 31.7 billion (EUR 4.2 billion) in 2024.

Recognised by the Financial Times as one of Europe’s Best Workplaces and ranked #1 among Danish companies, Pandora is committed to building an inclusive and diverse workplace. We believe reflecting the diversity of society in how we engage with our customers is essential to fulfilling our purpose: to give a voice to people’s loves. We are dedicated to nurturing a culture where everyone feels respected, valued, and empowered to thrive.