GCP Data Product Specialist

3 days ago


Malmo, Skåne, Sweden Incluso Stockholm Full time
About the Role
We are looking for a skilled Data Engineer for Cloud Platforms to join our team at Incluso Stockholm. As a data engineer, you will be responsible for building data products in the context of the Data Mesh concept. This includes taking end-to-end responsibility to build, optimize, and support existing and new data products towards the defined target vision. You will also implement data-intensive solutions for a data-driven organization and ensure that built data products work as independent units of deployment. Additionally, you will manage CI/CD pipelines and terraform as well as Cloud infrastructure. The ideal candidate will have a strong background in cloud technologies and infrastructure, including GCP tools – Dataflow, Dataproc, and BigQuery. Experience in different data formats (Parquet, Avro) and data query languages (SQL or similar) is also required. Furthermore, you should have a good understanding of different data modelling techniques and trade-offs, as well as knowledge of NoSQL and RDBMS databases. A collaborative and co-creative mindset with excellent communication skills is essential. The position requires fluency in written and verbal English. If you are passionate about data, people, and technology, and have at least 4+ years' hands-on experience as a Data Engineer on GCP/modern cloud data platforms or advanced analytics environments, we encourage you to apply for this exciting opportunity.

Key Responsibilities:
  • Taking end-to-end responsibility to build, optimize, and support existing and new data products towards the defined target vision.
  • Implementing data-intensive solutions for a data-driven organization.
  • Ensuring that built data products work as independent units of deployment.
  • Managing CI/CD pipelines and terraform as well as Cloud infrastructure.
  • Working closely with the Product Manager and other stakeholders around vision for existing data products and identifying new data products to support customer needs.
  • Evaluating and driving continuous improvement and reducing technical debt in the teams.
  • Maintaining expertise in the latest data/analytics and cloud technologies.

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