Senior Data Engineer

• Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments
• Leading the technical design of cloud data architectures and contributing to standards, guidelines, and long-term platform strategy
• Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation
• Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems
• Collaborating with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions
• Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps)
• Integrating data solutions with BI, ML, and application layers across diverse client environments
• Mentoring mid-level engineers in their technical growth (without formal line management)
• Staying up-to-date with emerging technologies and proposing platform innovations

Kogo poszukujemy?

• 4+ years of hands-on experience as a Data Engineer or a closely related engineering role
• 2+ years of experience working with cloud platforms (primarily Azure; AWS/GCP equally valuable)
• Strong Python skills - maintainable, production-ready code in distributed data environments
• Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL)
• Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred)
• Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems
• Experience with large-scale, high-volume datasets
• Strong ownership mindset, creativity, openness to innovation, and ability to work autonomously in dynamic cloud projects