Pandora's Data Architect

2 weeks ago


Copenhagen, Copenhagen, Denmark Pandora AS Full time

Pandora A/S is embarking on an exciting journey to transform our infrastructure from IaaS to Azure PaaS, leveraging industry-standard tools like ADF, Data Lake, Synapse, Analysis Services, and Databricks. We are seeking a skilled Data Engineer to help us build and implement scalable data products on our Azure PaaS data platform.

About the Opportunity:

As a Data Engineer, you will work closely with product managers, architects, and other key stakeholders to design and develop high-quality data products that meet the needs of our business. Your primary focus will be building and implementing scalable data products on our global data platform, collaborating with other smart engineers in the organization.

Key Responsibilities:

  • Collaborate with colleagues within a product team to design scalable, efficient, and stable data products.
  • Develop and deliver features designed to support Pandora to drive business cases and efficiencies within reporting and analytics & AI and other data-driven use cases.
  • Create and maintain high-quality data pipeline architecture.
  • Gain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modeling.
  • Own your data products and track continuous stability and benefits.

Requirements:

  • A minimum of 3 years of proven experience with Databricks.
  • Experience with ADF, Data Lake, Synapse, T/U-SQL, and SQL Server.
  • Experience with at least one object-oriented or functional/scripting language – PySpark, SQL, Python, etc.
  • DevOps and CI/CD focus.
  • Experience in working with relational data sets using SQL.
  • Experience with data warehousing and dimensional modeling.
  • Experience in building, and optimizing data pipelines, architectures, and datasets.
  • Experience in working with Azure, AWS, or other cloud providers.
  • Relevant education in Computer Science, Mathematics, Economics, Information Management, or Statistics.

Skills and Qualifications:

We are looking for a talented individual who possesses excellent technical skills, a strong understanding of data engineering principles, and the ability to communicate complex ideas effectively.



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