Senior CLoud Data Engineer

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SeniorHybryda·StockholmFull-time
#457970·Dodano 2 dni temu·0
Źródło: LinkGroup
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Firma i stanowisko

LinkGroup is hiring for a role focused on transforming legacy data platforms to modern cloud-based solutions using Google Cloud Platform (GCP).

Wymagania

  • Several years of experience in software development and/or data engineering.
  • Strong hands-on experience with GCP or similar cloud platforms.
  • Very good knowledge of Python, SQL, and BigQuery.
  • Experience building scalable data solutions using tools such as BigQuery, Dataform, Airflow, Pub/Sub, Docker.
  • Understanding of modern data architectures, including Data Warehouse and event-driven patterns.
  • Experience with ETL/ELT processes and data modelling, e.g. dimensional modelling or Data Vault.
  • Experience with DevOps practices, CI/CD, GitLab, and Infrastructure as Code, e.g. Terraform.
  • Ability to combine hands-on development with technical design and solution ownership.
  • Strong communication skills and a collaborative mindset.
  • Ability to translate business requirements into practical, scalable technical solutions.

Nice to have:

  • Experience in reporting or client reporting environments.
  • Experience modernising legacy data platforms.
  • Knowledge of data governance, data quality, and platform observability.
  • Experience working in large organisations or complex stakeholder environments.

Obowiązki

  • Contribute to the technical roadmap for data, reporting, and integration solutions.
  • Design, develop, implement, and maintain data solutions in a cloud-based environment.
  • Build and modernise data pipelines, APIs, and data products.
  • Support the migration from legacy systems to a modern GCP-based data architecture.
  • Work with business-critical data flows used for client reporting.
  • Collaborate with architects, product owners, and stakeholders to translate business needs into technical solutions.
  • Ensure alignment with target architecture, technical standards, and reusable engineering patterns.
  • Improve reliability, scalability, and maintainability of data solutions.
  • Support DevOps practices, CI/CD, and Infrastructure as Code where relevant.
Link Group

Link Group

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