Senior Data Engineer (Databricks)

O projekcie: As a Senior Data Engineer, you will play a key role in designing, building, and scaling our clients’ cloud data platforms. You’ll work closely with technical and business stakeholders, influence architecture decisions, and drive best engineering standards across teams. Expect cutting-edge cloud environments (Azure-first, with cross-cloud exposure), Databricks, Spark, robust CI/CD, and high-impact data solutions used across international organizations. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth. Wymagania: - 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role. - 2+ years experience working with cloud platforms - we operate primarily in Azure, but AWS/GCP experience is equally valuable. - Strong Python skills - ability to write maintainable, production-ready code in distributed data environments. - Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL, etc.). - 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. Codzienne zadania: - 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.