Data Engineer

My responsibilities:

• Design, develop, optimize, and maintain squad-specific data architectures and pipelines in line with ETL and data lake principles
• Prepare, align, and hand over data architecture and pipeline artefacts to the platform team for reuse across squads
• Solve complex technical data challenges that support business objectives
• Develop data products for analytics, data scientists, and ML engineers to improve productivity within the team and across the organization
• Advise, mentor, and support data and analytics professionals on data standards and best practices within the squad and organization
• Contribute to the evaluation of emerging tools in data engineering and data science, helping to define and improve standards and ways of working
• Drive continuous improvement by contributing to training, capability development, and enhancements in analytical data engineering practices, standards, and processes

The knowledge I own:

Tech Stack 

• Azure Databricks
• Azure Data Factory
• Python
• PySpark
• ServiceNow
• M365
• and other tools depending on the role

The offer that would convince me:

• We develop and maintain our own product with high emphasis on quality and long-term stability
• Code quality matters: we follow Clean Code and SOLID principles backed by robust testing
• Flexible working hours and remote work options
• Competitive salary with regular adjustments based on inflation and loyalty
• Access to continuous learning via our internal learning platform and expert communities

Online application:

Please use our online application and attach your resume.

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