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Data Platform Engineer
2 months ago
Join us in one of the most interesting challenges in Data Engineering in 2024: 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 jewelry 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.
Responsibilities- Develop and maintain the Data & AI platform and infrastructure.
- Create SDKs that accelerate the organization's ability to deliver faster with the newest technology.
- Make the creation and access to data products swift, secure, and automated.
- Craft an easy and seamless integration between traditional data products and products leveraging advanced analytics, Machine Learning, and AI.
- Enable teams to deploy and test their development in automated CI/CD flows across platforms.
- Integrate and set up DevOps tools and platforms that enable both our platform teams and products teams to deliver better and faster.
- Interact with stakeholders to scope tasks and evaluate requirements for incoming requests.
- Experience building end-to-end systems as a Senior Data Engineer, Platform Engineer, or DevOps Engineer.
- Strong software engineering skills in complex, multi-language systems.
- Fluency in Python.
- Experience working with Infrastructure as Code, e.g. Terraform.
- Experience working with cloud computing and database systems (SQL, no-SQL, distributed systems, data lakes, etc) such as Databricks.
- Experience building custom integrations between cloud-based systems using APIs.
- Familiarity with one or more data-oriented workflow orchestration frameworks.
- Ability to translate business needs to technical requirements.
- Strong understanding of software testing, benchmarking, and continuous integration.
- Experience in infrastructure, data and model monitoring & alerting (e.g. tools like NewRelic, Prometheus, Grafana, ELK Stack).
- Exposure and understanding of FinOps best practices for the public cloud.
- 4–8 years experience building production-quality software & data products.
- Bachelors or Masters degree and/or equivalent professional experience.
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
We hope you got all your questions answered and feel confident applying for this position. If you see yourself in the position and would like to become a part of Pandora’s future, please do not hesitate to apply. We look forward to hearing from you
Icing on the cake: You will be working out of our beautiful Head Office in Copenhagen V, established in 2016 and designed to unite and inspire our teams.
About PandoraEstablished in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores.
At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves.
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