Data Engineer (Data Platform)

Quick Facts

• Flexible working hours in a hybrid model (4/1) with a start window between 7:00 a.m. and 10:00 a.m.
• 30 days of occasional remote work.
• Salary range: 14,600–20,825 PLN (contract of employment; tax-deductible cost).
• Annual bonus based on annual performance and company results.

Description

Join as a Data Engineer (Data Platform) to build data validation and anomaly-detection pipelines for high-volume clickstream events. The role ensures high-quality, contract-validated data consumed by AI agents and core business dashboards (board-level metrics).

Responsibilities

• Design, scale, develop, and maintain data validation pipelines for high-volume clickstream data.
• Implement robust anomaly detection mechanisms to protect data integrity before ingestion into the core Data Assets layer.
• Collaborate with cross-functional stakeholders to reconcile data requirements.
• Participate in engineering discussions, code reviews, and cross-team initiatives.

Requirements

• Solid, production-proven experience in Big Data ecosystems and building stable data pipelines.
• Proficiency in Python and Spark (Scala is nice to have).
• Open to aligning with Java backend applications.
• Understanding of data quality principles, event contract validation, anomaly detection, and streaming data processing for clickstream.
• Open to feedback, active in code reviews, and eager to develop skills.
• Proactive communicator with strong ownership and autonomy.
• Broad technical perspective across Big Data, Backend, and Frontend.
• Enthusiasm for using AI coding tools to automate repetitive tasks and optimize workflow.
• Polish: C1 level minimum; English: B2 level minimum.

Benefits

• Hybrid work with flexible start times and 30 days of occasional remote work.
• Well-located offices with excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• Choice of MacBook Pro or Dell with Windows, plus necessary accessories.
• Cafeteria-style fringe benefits (medical, sports, lunch packages, insurance, vouchers).
• Paid English classes, training budget, hackathons, and an internal learning platform.
• Additional day off for volunteering.
• Social events and community activities.