Hybrid Junior Data Engineer – e-Xperience Program Associate

at Allegro

• Job title: Junior Data Engineer – e-Xperience Program Associate
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, BigQuery, Cloud, ETL, Java, Python, Scala, SQL
• Location requirements: Hybrid, Poznan, Poland

About the role

• Junior Data Engineer role at Allegro, focusing on developing ETL/ELT pipelines and processing large datasets. Collaborate with cross-functional teams for data quality and reporting.

Responsibilities

• 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.

Requirements

• 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

Benefits

• 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)