Denmark Job Openings
Pandora Jewelry
Data Engineer
Copenhagen
FULL TIME
September 4, 2024
- Work closely with your colleagues within a product team to design scalable, efficient and stable products
- Work closely with product owners to build and deliver features designed to support PANDORA to drive the business cases and efficiencies within reporting and analytics & AI and other data driven use cases
- Create and maintain high quality data pipeline architecture
- Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling
- Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.
- Own your data products and track continuous stability and benefits
- Live and breathe “build-once-consume-many” culture in which we enable others to use our data products for maximum value-add
- Work with stakeholders and teams to assist with data-related technical challenges
- Follow best practice and existing guidelines but also push the limits
- Thrive in a fast paced environment and you get motivated by challenges as a true problem solver.
- Relevant education in within Computer Science, Mathematics, Economics, Information Management, or Statistics.
- 3+ years of experience as a Data Engineer or in Software engineering role with focus on data.
- Proven experience with Data Bricks, ADF, Data Lake, Synapse, T/U-SQL, and SQL Server.
- Experience with at least one object oriented or functional/scripting languages – Py Spark, SQL, Python etc.
- Dev Ops and CI/CD focus
- Experience in working with relational data sets using SQL
- Experience with datawarehousing, dimensional modelling and cubes
- Experience in building, and optimizing data pipelines, architectures, and datasets
- Experience in working with Azure, AWS or other cloud providers
- Experience in working with Kafka or Streaming data processing.
- Designed, built and delivered production ready data products at an enterprise level
- Good cross-functional communication
- Agile mindset and experience of Scrum
- Big data: Spark, Data Bricks.
- Data pipeline and workflow tools: Airflow, ADF
- Stream-processing systems: Kafka or Spark Streaming
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