Senior Data Engineer
New
Y
YourITeamsData engineering
Workplace type: remote; Locations: Lublin, Lublin, Lublin, Country code: PLFull-TimeSenior
Salary150 - 175 PLN per hour
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Job Details
- Languages
- Fluent English.
- Experience
- Minimum 5 years’ experience in data engineering, data warehousing or business intelligence roles.
- Required Skills
- SQLMicrosoft Power BISnowflakeData modeling
Requirements
- Minimum 5 years’ experience in data engineering, data warehousing or business intelligence roles.
- Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform.
- Proven Power BI experience, including data modelling, DAX and report/dashboard development.
- Experience building and maintaining ETL/ELT pipelines and integrations, including work with legacy systems.
- Practical experience using AI-assisted tooling to improve data engineering delivery.
- Advanced SQL skills.
- Experience with data modelling approaches, including dimensional modelling and star schemas.
- Experience with cloud platforms such as Azure, AWS or GCP and cloud-native data services.
- Understanding of data governance, data quality and data security principles.
- Experience collaborating with Development, Cloud and Security engineering teams.
- Fluent English.
- Experience with Azure Synapse Analytics is desirable.
Responsibilities
- Design, build, support and maintain scalable, secure data pipelines and integrations.
- Develop and maintain data models, ETL/ELT pipelines and analytics solutions using Snowflake, Azure Synapse Analytics, Power BI and related tooling.
- Take accountability for the quality, performance and operational support of data solutions, including legacy integrations.
- Use AI-assisted tooling such as GitHub Copilot and Claude to improve development speed, quality and efficiency.
- Collaborate with Development, Cloud and Security engineering teams to deliver and operate secure, reliable data solutions.
- Troubleshoot data quality, performance and integration issues across modern and legacy platforms.
- Build and maintain Power BI dashboards, reports and self-service analytics capabilities.
- Engage business stakeholders to understand data and reporting requirements and translate them into technical solutions.
- Apply security-first practices and address governance, privacy and regulatory requirements.
- Contribute to data architecture, standards and best practices, and provide task estimates to support capacity planning.
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