Junior Data Engineer - e-Xperience Program Associate

Nasze wymagania: Are familiar with Python (or Java/Scala) and know how to write clean, maintainable code. Are familiar with the basics of SQL and want to learn how to use it in practice for processing large-scale technical datasets. Like analyses and can apply critical thinking to identify basic trends and patterns, treating complex data as a puzzle waiting to be solved. Are eager to continuously develop your skills and expand knowledge in a highly technical infrastructure environment, tackling the challenges of large-scale datasets in one of Europe's leading e-commerce platforms. Know English at B2+ level O projekcie: Start your career with Allegro e-Xperience 2026 - a talent program running from 1 July to 31 December 2026. During the program, you’ll gain hands-on experience, work on real projects and learn from teams shaping one of the largest e-commerce platforms in the region. After the initial period, candidates may be considered for future permanent opportunities at Allegro, depending on business needs and performance. You can find full details about the recruitment process and timeline here. Ready to take your first professional step? Apply now and shape the future of e-commerce with us! For this role, we’re looking for 3 Associates. Zakres obowiązków: You will develop and maintain ETL/ELT data pipelines processing massive datasets from the Allegro platform. You will expand your expertise in the Google Cloud ecosystem, working with tools like BigQuery and Cloud Composer (Airflow) You will be part of a cross-functional team, collaborating closely with Data Scientists and Analysts to provide high-quality, structured data for ML models and business reporting. You will verify data quality and implement basic monitoring solutions to ensure the reliability of our data warehouse. You will optimize existing data processes, write clean code, and learn best practices in DataOps and software engineering. You will be part of the Infrastructure department, learning how we manage and analyze vast amounts of technical data across our data centers and the public cloud. You will be responsible for assisting in building a seamless data process flow, cooperating with various teams to understand existing metrics and company targets. Oferujemy: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. The opportunity to learn, work on exciting challenges, collaborate with amazing people and have an unforgettable adventure Mentorship and support from your buddy throughout your entire program Additionally, you will be part of a supportive, inclusive culture that fosters personal growth, career development, and the building of meaningful connections with colleagues A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers) The necessary tools for work Working in a team you can always count on - we have on board top-class specialists and experts to learn from Hackathons/Open days, workshops, guilds, meetups and internal knowledge sharing Internal learning platform (including training courses on work organization, means of communication, motivation to work and various technologies and subject-matter issues)