Responsibilities
- Develop, test, and maintain production data pipelines, services, and internal tooling with team support.
- Work with BigQuery, Cloud Composer (Airflow), Google Cloud Storage, Dataflow, and other Google Cloud services.
- Implement data ingestion, validation, data-quality checks, monitoring, alerts, and operational automation.
- Process structured, semi-structured, and event data using Avro, Protobuf, Parquet, JSON, and CSV.
- Participate in code reviews, technical discussions, incident follow-ups, and documentation.
- Collaborate with engineers, analysts, and product stakeholders to understand data-product usage.
Requirements
- Commercial experience with Python, Java, or Kotlin.
- Basic ability to write clean, tested code and willingness to learn modern software engineering practices.
- Solid SQL fundamentals and basic understanding of data modeling, relational databases, APIs, and common data formats.
- Interest in cloud platforms, distributed systems, and large-scale data processing.
- Systematic problem-solving skills, willingness to ask questions, and active learning from feedback.
- English proficiency at B2 level or higher.
- Projects involving data pipelines, backend services, cloud platforms, or SQL data warehouses are welcomed.
- Familiarity with Docker, Git, CI/CD, Linux, cloud infrastructure, DBT, Airflow, Apache Beam, Spark, Kafka, or streaming systems is advantageous.
Benefits
- Hybrid 4/1 work model with flexible start times between 7:00 a.m. and 10:00 a.m., plus 30 days of occasional remote work.
- Annual performance and company-results bonus.
- Well-located offices with equipped kitchens, bicycle parking, terraces, ergonomic equipment, and interactive conference rooms.
- Choice of a 16-inch or 14-inch MacBook Pro or equivalent Dell Windows laptop with accessories.
- Cafeteria-plan benefits including medical, sports, lunch, insurance, and voucher packages.
- Company-funded English classes related to the role.
- Training budget, inter-team tourism, hackathons, and an internal learning platform.
- Additional volunteering day off and company social events.
Tech Stack
Categories
About Allegro
Allegro is the most popular shopping platform in Poland and the largest e-commerce platform of European origin. We operate a marketplace model which means that customers can buy whatever they need from over 135,000 merchants, who can list an unlimited number of offers on our platform. We offer products in all key categories including Automotive, Fashion, Home&Garden, Electronics, Books and Collectibles, Kids or Health and Beauty. Each month, 22 million customers visit our platform, which is equivalent to almost 80% of all Internet users in Poland. They can choose from over 250m offers at the most attractive prices with maximum convenience including fast and free deliveries under the Allegro Smart! programme, modern financial services (Allegro Pay), as well as Poland’s widest 50k pickup points network. In 2019 we celebrated the 20th anniversary of Allegro in Poland. For over two decades, we have been serving consumers and promoting the idea of entrepreneurship in one of the most innovative areas of the economy. We have come a long way from an auction site for private individuals looking for a modern alternative to their local flea market. Today, we are a vibrant international marketplace platform for professional sellers and a must-have sales channel for top international brands and retailers. We currently employ more than 7000 employees and each of us ranks among the best experts in their field. Whether it’s in Technology, Customer Experience, Commerce, Delivery Experience or many other teams, we’re all proud to say that Allegro employs the best people on the market and all of us are ready to admit that it’s #goodtobehere. ESG Report 2022: https://allegro.pl/zobacz/esg Career at Allegro: https://jobs.allegro.eu/ Allegro Tech: https://allegro.tech/ Brand Journal: magazyn.allegro.pl Support & help: pomoc.allegro.pl // facebook.com/allegro