Junior Big Data Engineer (Java / Python)

Nasze wymagania:
Have commercial experience in Python, Java or Kotlin.
Demonstrate basic ability to write clean, tested code and an eagerness to learn modern software engineering practices.
Possess solid SQL fundamentals.
Have a basic understanding of data modeling, relational databases, APIs, and common data formats (e.g., JSON, CSV, Avro, Parquet).
Are interested in cloud platforms, distributed systems, and data processing at scale.
Can diagnose problems systematically, ask good questions, and learn actively from feedback.
Speak English at a B2 level or higher.

Mile widziane:
Personal, academic, or commercial projects involving data pipelines, backend services, cloud platforms, or SQL data warehouses.
Familiarity with Docker, Git, CI/CD, Linux, or cloud infrastructure fundamentals.
Exposure to DBT, Airflow, Apache Beam, Spark, Kafka, or streaming systems.

O projekcie:
Important things for you:
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.
The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):
Junior Big Data Engineer: 11 200 - 15 250 PLN
Annual bonus based on your annual performance and company results.
We are looking for a Junior Big Data Engineer to learn how to build and operate the foundations that make data reliable, discoverable, governed, and usable at scale across Allegro.
You will work with experienced engineers on production data-platform services and pipelines. Our products include event ingestion into BigQuery, schema contracts and evolution, data quality and freshness SLAs, data governance and GDPR-related data lifecycle processes, and metadata capabilities. This role is designed for engineers who want to grow beyond business reporting and analytical transformations into software engineering for shared, enterprise-scale data-platform products.

Zakres obowiązków:
Developing, testing, and maintaining parts of production data pipelines, services, and internal tooling with support from the team.
Learning to work with BigQuery, Cloud Composer (Airflow), GCS, and other Google Cloud Platform services.
Helping implement data ingestion, validation, data-quality checks, monitoring, alerts, and operational automation.
Working with structured, semi-structured, and event data using formats such as Avro, Protobuf, Parquet, JSON, and CSV.
Participating in code reviews, technical discussions, incident follow-ups, and documentation.
Collaborating with engineers, analysts, and product stakeholders to understand how data products are used.

Oferujemy:
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 e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
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).
English classes that we pay for related to the specific nature of your job.
A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.