Junior Big Data Engineer (Java / Python)

Quick Facts

• Role: Junior Big Data Engineer (Java / Python)
• Work style: Hybrid model (4/1), flexible hours starting between 7:00 a.m. and 10:00 a.m.; up to 30 days occasional remote work
• Compensation: 11,200–15,250 PLN (depending on skills) + annual performance bonus

Description

You will learn to build and operate the foundations for reliable, discoverable, governed, and scalable data products. You’ll work with experienced engineers on production data-platform services and pipelines, including event ingestion into BigQuery, schema evolution, data quality/freshness SLAs, data governance and GDPR-related data lifecycle processes, and metadata capabilities. The role is designed to help you grow from business reporting/analytics transformations into enterprise-scale software engineering.

Role description & responsibilities

• Develop, test, and maintain parts of production data pipelines, services, and internal tooling with team support
• Learn BigQuery, Cloud Composer (Airflow), and GCS, plus other Google Cloud Platform services
• Help implement ingestion, validation, data-quality checks, monitoring, alerts, and operational automation
• Work with structured, semi-structured, and event data using formats such as 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 how data products are used

Requirements

• Commercial experience with Python, Java, or Kotlin
• Ability to write clean, tested code and eagerness to learn modern software engineering practices
• Solid fundamentals in SQL
• Basic understanding of data modeling, relational databases, APIs, and common data formats (JSON, CSV, Avro, Parquet)
• Interest in cloud platforms, distributed systems, and data processing at scale
• Ability to diagnose problems systematically, ask good questions, and learn actively from feedback
• English proficiency at B2 level or higher

Hard skills and technologies

• Python, Java, Kotlin
• Spring Framework
• BigQuery, Cloud Composer (Airflow), Cloud Run, GCS, Dataflow
• SQL
• PostgreSQL, Neo4j
• Avro, Protobuf, Parquet, JSON, CSV
• Git

Benefits

• Hybrid schedule with flexible start times and up to 30 days occasional remote work
• Well-located, well-equipped offices and excellent work tools (e.g., MacBook Pro or equivalent Dell)
• Cafeteria fringe benefits (medical, sports/lunch packages, insurance, purchase vouchers)
• Paid English classes related to the job
• Training budget, hackathons, and an internal learning platform
• Additional day off for volunteering
• Social events and community activities