Senior Data Engineer (Databricks)

CLOUDFIDE SP. Z.O.O is hiring a Senior Data Engineer to design, build, and scale cloud data platforms primarily on Azure with cross-cloud exposure. The role involves working with international organizations and cutting-edge cloud environments including Databricks and Spark.

• 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
• 2+ years experience working with cloud platforms, primarily Azure; AWS/GCP experience is also valuable.
• Strong Python skills with ability to write maintainable, production-ready code in distributed data environments.
• Advanced SQL proficiency and experience with relational databases such as SQL Server and 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 working with large-scale, high-volume datasets.
• Strong ownership mindset, creativity, and openness to innovation.
• Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.

• 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, 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 closely 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) to streamline deployments and operations.
• Integrating data solutions with BI, ML, and application layers across diverse client environments.
• Mentoring mid-level engineers, supporting them in technical growth (without formal line management).
• Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.