Data Engineer - 1P Area

Technologies we use

About the project

Your responsibilities

• Design and develop high-quality data products and reliable, cost-effective processing pipelines on the Google Cloud Platform.
• Build, test, and maintain data systems to ensure accuracy for large-scale pipelines involving both streaming and batch data flows.
• Implement data schemas, models, message brokers, and SQL/No-SQL databases.
• Actively maintain the correctness of dataflows, ensuring high performance for critical processes like competitive pricing.
• Write high-quality code that follows agreed standards and suggest areas for automation or standardization.
• Manage and optimize costs related to data infrastructure and processing within the GCP environment.

Our requirements

• You have at least 3 years of experience as a Data Engineer working with large datasets.
• You are highly proficient in SQL and have a strong understanding of data modeling and cloud DWH architecture.
• You have experience with cloud providers, preferably GCP (BigQuery).
• You are proficient in Python for working with large data sets, using tools like PySpark or Airflow.
• You use good practices such as clean code, code review, and CI/CD.
• You have a high degree of autonomy and a passion for translating complex business requirements into impactful data solutions.
• You know English at a B2 level or higher.

What we offer

• Flexible working hours in the hybrid model (4/1) — working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Well-located offices with fully equipped kitchens, bicycle parking, and ergonomic work tools (raised desks, interactive conference rooms).
• Top-tier equipment: A 16" or 14" MacBook Pro or corresponding Dell with Windows and all necessary accessories.
• Cafeteria plan: A wide selection of fringe benefits including medical, sports, or lunch packages, insurance, and purchase vouchers.
• Growth & Development: Paid English classes, a training budget, hackathons, and access to an internal learning platform.
• Giving back: An additional day off for volunteering.
• Integration: Social events like Family Day, Fat Thursday, and Advent of Code.

Benefits

#goodtobehere means that:

• You will join a team you can count on — we work with top-class specialists who have knowledge-sharing in their DNA.
• Autonomy and impact: You get to choose which technology solves the problem and you are responsible for what you create.
• Modern Ecosystem: We rely on self-service tools like Kubernetes, Docker, Consul, GitHub, and GitHub Actions.
• AI Support: You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services.
• Allegro Scale: You will work with over 1000 microservices and an open-source data bus (Hermes) handling 300K+ rps.
• Allegro Tech Community: We speak at conferences, run a tech blog, record podcasts, and organize our own internal Allegro Tech Meeting.