Data Engineer (MS Fabric, Azure)
Posted bythe hiring team· 17 days ago
- Location
Posted bythe hiring team· 17 days ago
Data Engineer (MS Fabric, Azure)
USD 56,054 – USD 76,437
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About this role
We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland.
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This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).
Position:
As Data Engineer, you will broaden your experience by working in modern projects for various domains and industries. You will extend your skills in a wide range of tools, focusing on tasks such as:
Building and maintaining data pipelines (MS Fabric & Azure)
Developing and managing end-to-end data architecture
Improving performance of pipelines and datasets
Implementing robust ETL/ELT processes
Implementing data governance, data quality and data security best practices across data systems
Optimizing performance of data workflows
Staying up-to-date with the latest developments in data engineering world
Possibility to develop yourself in advanced AI technologies
Required skills:
For this role, you will need commercial experience with:
MS Fabric
Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database)
SQL
Python
English (B2)
Nice to have:
Experience with Databricks
Knowledge of machine learning concepts and frameworks (e.g. MLflow, TensorFlow)
Knowledge/experience with LLMs and orchestration frameworks
If you want to ask any questions before applying, feel free to reach out via LinkedIn!
The Data Engineer (MS Fabric, Azure) role with the hiring team offers USD 56,054–76,437 per year. Salary information is published as part of every JobRemotely listing so candidates can self-screen before applying.
Yes — the hiring team has marked this Data Engineer (MS Fabric, Azure) role as open to candidates based in Poland. Eligibility requirements are surfaced in the JobPosting structured data on the listing.
The hiring team uses the JobRemotely structured hiring pipeline: candidates apply through the listing, complete a paid test task or screening, and only then proceed to interviews. This skips the resume black hole and respects everyone's time.
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