Data Engineer @ Ework Group
(práce v Polsku)

Data Engineer @ Ework Group

Polsko

• Proven experience in Azure Databricks and Python (data engineering, pipelines, performance tuning).
• Azure DevOps (Repos, Pipelines, YAML).
• Azure Key Vault.
• Azure Data Factory (optional).
• Good to have knowledge within PowerBi.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Fluent in English (C1).

? Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

? For our Client we are looking for Data Engineer ?

Preferred candidates are based in Wrocław or nearby areas, but candidates from across Poland will also be considered for remote work.

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks and some exposure to Power BI, skilled in building and optimizing data solutions, with excellent analytical abilities and a strong focus on communication and collaboration with business stakeholders, internal teams, and external partners.

,[Design, build, and optimize data pipelines in Azure Databricks environment., Maintain and enhance analytical solutions supporting spare parts sales., Implement and automate CI/CD processes using Azure DevOps (Repos, Pipelines, YAML)., Integrate with other cloud components such as Azure Key Vault and (optionally) Azure Data Factory., Monitor performance and troubleshoot issues in running data pipelines., Collaborate with business stakeholders to identify analytical needs and translate them into technical solutions., (Optional) Work with PowerBi to support integration of existing solutions., Create technical documentation and participate in code reviews.] Requirements: Azure, Databricks, Python, Azure DevOps, Power BI, Azure Data Factory

Kategorie

data

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