Data Engineer at Pandora

3 weeks ago


Copenhagen, Copenhagen, Denmark Pandora Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at Pandora. As a Data Engineer, you will be responsible for designing, building, and maintaining our data platform to support business growth and decision-making.

You will work closely with product managers, architects, and other key profiles to design and implement scalable data products on our global data platform. Your primary focus will be building and implementing high-quality data products that meet the needs of our business.

  • Design and implement scalable data pipelines and architectures
  • Work closely with product managers to build and deliver features that support business cases and efficiencies
  • Create and maintain high-quality data pipeline architecture
  • Obtain relevant business and system knowledge to convert requirements into technical design documentation
  • Ingest large, complex data sets, automate manual processes, and optimize data delivery
  • Own data products and track continuous stability and benefits
  • Follow best practices and existing guidelines while pushing the limits of innovation
  • Thrive in a fast-paced environment and drive problem-solving
About Pandora

Pandora is a leading jewelry brand that designs, manufactures, and markets hand-finished jewelry made from high-quality materials at affordable prices. We have a strong commitment to sustainability and aim to be carbon neutral by 2025. We employ 28,000 people worldwide and have a strong presence in over 100 countries.

We are a growing team, and you will have the opportunity to influence our culture and working tools while working with other data engineers, visualization specialists, architects, scrum masters, product managers, and more from Europe, India, and Thailand.

Requirements
  • Relevant education in Computer Science, Mathematics, Economics, Information Management, or Statistics
  • 5+ years of experience as a Data Engineer or in Software engineering role with focus on data
  • Proven experience with DataBricks, ADF, Data Lake, Synapse, T/U-SQL, DAX, and SQL Server
  • Experience with at least one object-oriented or functional/scripting language – Java, Scala, Python, etc.
  • DevOps and CI/CD focus
  • Hands-on with Git and coding best practices
  • Unit testing
  • Experience in working with relational data sets using SQL
  • Experience with data warehousing, dimensional modeling, and cubes
  • Experience in building and optimizing data pipelines, architectures, and datasets
  • Experience in working with Azure, AWS, or other cloud providers
  • Designed, built, and delivered production-ready data products at an enterprise level
  • Highly proficient in English and able to communicate with all levels
  • Agile mindset and experience with Scrum


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