Data Engineer

Job description

Join PRODYNA as a Data Engineer, where we create innovative software solutions. Be part of a dynamic team focused on digitalization and cloud computing. Tasks Design modern data platforms for large-scale data integration. Plan and implement backend services for data utilization. Optimize data pipelines and ensure quality on cloud platforms. Skills Several years in software development with data-driven projects. Proficient in SQL and programming languages like Python. Knowledge of data integration tools like Azure Data Factory. At PRODYNA we design, implement, and operate custom software applications for mid- to large-sized enterprises. We're committed to offering our customers innovative and future-proof solutions through digitalization and cloud computing strategies. As a member of the Cloud Native Computing Foundation (CNCF), we promote speed, agility, and scalability in software development. Your tasks As a Data Engineer, you'll be responsible for designing and conceptualizing modern data platforms capable of integrating and processing large volumes of data from systems at scale. Your responsibilities will include: Designing and conceptualizing modern data platforms for large-scale data integration and processing. Planning and implementing backend services using modern frameworks for data provisioning and utilization. Independently optimizing pipelines and integrating them into cloud platforms. Implementing tools and solutions to ensure data quality, data cleansing, and provision of aggregated data for analysis. Gathering and specifying requirements from our clients. Your profile Several years of experience in software development, particularly in data-driven projects, data warehousing, or data platform construction. You are skilled in developing pipelines and data integration routes both on-premises and in the cloud (ETL/ELT, Azure Data Factory, DBT, stored procedures, or similar tools Familiarity with data modeling and experience with Data Vault, Data Mesh, Kimball, or Inmon methodologies. Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with cloud platforms (e.g., Azure, AWS, or GCP). Strong analytical and problem-solving skills. Additional knowledge of data science or business intelligence (reporting tools) is an advantage Nice to Have: Experience with Microsoft Fabric or understanding of the Fabric ecosystem. Knowledge of Delta Lake, Lakehouse architecture, and data mesh principles. Familiarity with CI/CD for data pipelines. Exposure to data cataloging tools (e.g., Purview, Alation). Understanding of privacy regulations (e.g., GDPR, CCPA). Your benefits Employee education 25 vacation days Free hardware selection Private health insurance Health support and wellbeing Team events International network Fruits in the office Employee referral programm