Technologies-expected :
SQL
Py Spark
Airflow
about-project :
The salary range for this position is (contract of employment): 14 200 - 20 200 PLN in gross terms
In the 1 P (First Party) area, we are the enablers for designing, enhancing, and maintaining process data for core business operations, including pricing, backmargin, planning, and warehouse costs. As 1 P undergoes significant transformations, our team is responsible for designing mandatory new dataflows that allow these core processes to function effectively.
We are looking for a Data Engineer to join this high-complexity environment. This is a critical role where your work on data quality directly impacts Allegro’s margin and P&L.
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.
requirements-expected :
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 (Big Query).
You are proficient in Python for working with large data sets, using tools like Py Spark 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.
offered :
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" Mac Book 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 :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
integration events
no dress code
leisure zone
extra social benefits
