Senior Data Software Engineer (Databricks upskilling program)

If you are an experienced Data Engineer yearning to expand your skills in the Databricks and AI field, we present an extraordinary opportunity to scale up! You’ll broaden your skill set, enhance your career potential, and work with top trending technologies in a fascinating domain. This is a chance to step up, embrace change, and future-proof your career. You will gain: Immediate employment as a Data Software Engineer from day one, in accordance with your seniority level – not as a beginner, but as a qualified professional The potential to work on exciting Big Data projects upon successfully attaining Databricks certification - provided by the company Guaranteed access to OpenAI and Anthropic certification opportunities, fully supported and provided by the company The opportunity to be part of one of Poland's most significant and accelerating IT companies Responsibilities Formulate and execute innovative analytical solutions using Cloud Native, Big Data, and NoSQL-centric technologies Develop and implement Cloud, On-Premise, and Hybrid solutions utilizing superior data frameworks Collaborate with product and engineering teams to understand and drive decision-making Maintain synergy with architects, technical leads, and key individuals within other functional teams Analyze business and technical environment problems and leverage insights to design and implement quality technical solutions Engage in code reviews and test solutions to ensure adherence to best practice specifications Promote and uphold a high-performance engineering culture Write comprehensive project documentation Requirements Proficiency in Python and SQL ETL/ELT experience Experience with Cloud platforms (Azure, AWS, or GCP) Practical experience with GenAI/LLM tools (such as ChatGPT, Claude, etc.) within the software/data delivery lifecycle (AI SDLC) Excellent interpersonal and communication abilities B2+ command of the English language Nice to have Solid understanding of CI/CD principles and best practices Spark experience Exposure to Databricks Experience with the Pandas library Experience in high-load and IoT Data Platform architectures and infrastructures Knowledge of Docker and Kubernetes