Data Governance Engineer in Fintech developing a formal cyber data governance framework. Collaborating with cyber security, analytics, and platform engineering teams on metadata and lineage capabilities.
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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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