Data Engineer / Senior Data Engineer

New

DataArtFinancial Services

Wrocław, plac Grunwaldzki 23, Warszawa, Prosta 20, Lublin, Tomasza Zana 39a, Kraków, Jana Dekerta 24, Łódź, Gdańska 130, Wrocław, Country code: PLFull-TimeSenior

Salary5096 - 6023 EUR per month b2b currencySource=conversion; 5928 - 7006 USD per month b2b currencySource=conversion; 4799 - 5672 CHF per month b2b currencySource=conversion; 4850 - 5793 USD per month gross permanent currencySource=conversion; 4377 - 5173 GBP per month b2b currencySource=conversion; 3927 - 4690 CHF per month gross permanent currencySource=conversion; 4169 - 4980 EUR per month gross permanent currencySource=conversion; 3581 - 4278 GBP per month gross permanent currencySource=conversion; 22000 - 26000 PLN per month b2b currencySource=original; 18000 - 21500 PLN per month gross permanent currencySource=original

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Job Details

Languages: En B2
Experience: 6+ years
Required Skills: PythonSQLGitData engineeringAzure DevOpsPySpark

Requirements

6+ years of experience in Data Engineering.
Hands on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
Strong programming experience with Python, SQL, and PySpark.
Experience implementing Delta Lake and production lakehouse or medallion architectures.
Experience with Git and Azure DevOps, including CI/CD pipelines for data solutions.
Experience working with SQL Server environments.
Practical experience using AI coding assistants within software delivery projects.
Ability to communicate effectively in English with technical and business stakeholders.
Experience taking ownership of architecture or platform design decisions.
Experience reviewing code and establishing engineering standards.
Experience gathering requirements and collaborating directly with business stakeholders.

Responsibilities

Design and develop data ingestion pipelines from business systems into a governed cloud data platform.
Build scalable data engineering solutions using Azure Databricks and Microsoft Fabric.
Implement medallion architecture patterns and reusable engineering frameworks.
Develop curated data products and analytical datasets for business reporting and decision making.
Apply AI assisted development practices while ensuring quality, governance, and auditability.
Contribute to data modelling, semantic models, metadata management, and analytical solutions.
Support the migration of reporting and analytics workloads from legacy platforms.
Collaborate with stakeholders to translate business requirements into technical solutions.
Provide design guidance, establish engineering standards, and participate in code reviews.

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