Data Engineer

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MidFull-time·B2B
#351894·Dodano wczoraj·0
Źródło: emagine
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Tech Stack / Keywords

RESTMicrosoft AzureCloudSQLGitCI/CDAzureDatabricks

Firma i stanowisko

This is a data-focused project built around Microsoft Azure technologies in the Consumer Packaged Goods (CPG) industry. The role is based in the Gdańsk office with a hybrid working model requiring at least one day per week onsite.


Wymagania

  • 2+ years of experience in Data Engineering or a similar role.
  • Hands-on knowledge of Azure data services and technologies, such as Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, or Azure Data Explorer.
  • Good understanding of Microsoft Azure as a platform.
  • Experience with analytics, databases, and data systems.
  • Strong SQL skills and experience with relational databases.
  • Python knowledge (advanced proficiency not required).
  • Familiarity with data modelling techniques and data pipeline technologies.
  • Experience with Git and branching strategies.
  • Knowledge of CI/CD pipeline development and deployments.

Nice to have:

  • Familiarity with streaming data pipelines, messaging queues, and serverless components.
  • Experience with Agile and DevOps methodologies.
  • Experience with Infrastructure as Code, especially Terraform.
  • Experience with ServiceNow.
  • Experience with Collibra / Data Navigator.

Obowiązki

  • Build and maintain end-to-end data pipelines, including ingestion, transformation, and delivery.
  • Implement enhancements to improve the functionality and performance of supported data solutions.
  • Work closely with internal business stakeholders to gather requirements, align expectations, and support delivery.
  • Lead and coordinate UAT and PAT activities together with business stakeholders.
  • Share and document knowledge for the team and future project members.
  • Provide technical feedback and suggest improvements to operational practices.
  • Work with Git, branching strategies, CI/CD pipelines, and deployment processes.
  • Support a collaborative, self-managing team environment.

Oferta

  • Opportunity to work on a data engineering project using Azure-based technologies.
  • Role combining technical data engineering tasks with close business collaboration.
  • Work on end-to-end data pipelines and cloud data solutions.
  • Collaborative environment where knowledge sharing and process improvement are valued.
  • Possibility to contribute to both technical delivery and business-facing testing activities.
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