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Data Engineer

1 month ago

Stockholm, Stockholm, Sweden Podme Full time
About Podme

Podme is a leading podcast entertainment platform that aims to enrich everyday life by providing a fresh selection of curated content. Founded in 2017, we are backed by Schibsted News Media, the largest media group in Scandinavia. Our vision is to become the go-to place for quality podcasts, and we are now on a growth journey that requires us to strengthen our data-driven excellence.

Job Description

We are seeking a skilled Data Engineer to join our data team in Stockholm. As a Data Engineer, you will be responsible for designing, building, and maintaining our enterprise data warehouse. You will develop, deploy, and manage data processing workflows, including data orchestration, ETL processes, data transformations, and data quality checks. You will also enable teams across Podme to develop data-driven products and services by collaborating with the Data Lead/Architect, Data Analyst, and other stakeholders.

Responsibilities
  • Design and build enterprise data warehouse
  • Develop and deploy data processing workflows
  • Manage data orchestration, ETL processes, data transformations, and data quality checks
  • Enable teams to develop data-driven products and services
  • Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions
  • Implement and maintain data security and privacy policies and practices
  • Continuously improve data orchestration performance, reliability, and scalability
Requirements
  • Expertise in data warehousing and data lake architectures
  • Dimensional modeling skills, particularly star schema
  • Strong programming skills in Python
  • Analytical mindset and ability to analyze information effectively
  • Self-starter and team player with excellent communication skills
  • Curious, adaptable, and collaborative individual
What We Offer
  • Internal career growth opportunities
  • Flexible working arrangements, including remote work options
  • Opportunity for development of competencies and knowledge-sharing events
  • Wellness allowance and healthcare insurance
  • Access to Podme premium podcasts
Interview Process
  • Recruiter screening
  • Home assignment in Python
  • Technical interview with live SQL exercise
  • Values interview with team member and Head of Insights