Staff Data Engineer - Remote

Overview

We are seeking a highly skilled Staff Data Engineer to join our team. In this role, you will lead the design, implementation, and optimization of our data infrastructure, leveraging Google Cloud Platform (GCP) and Amazon Web Services (AWS). You will play a critical role in developing scalable data pipelines, ensuring data integrity, and providing robust solutions that empower analytics and machine learning teams.

In Short

• Architect, build, and maintain scalable, reliable, and secure data infrastructure using GCP and AWS services.
• Design and implement ETL/ELT pipelines to process and transform large datasets efficiently.
• Develop and optimize data models, warehouses, and lakes for analytical and operational use cases.
• Set up and maintain CI/CD processes for automated deployment, integration, and testing.
• Identify and address bottlenecks and opportunities for improvement in data pipelines and systems.
• Implement data governance, security, and compliance best practices.
• Automate and monitor data ingestion, transformation, and storage processes.
• Ensure high availability and disaster recovery strategies for critical data systems.
• Stay updated with the latest advancements in cloud data technologies and advocate for best practices.
• Collaborate with partners and stakeholders to understand customers’ business challenges and key requirements.

Requirements

• 8+ years of experience in data engineering or a related field.
• Proven experience designing and implementing scalable data architectures (e.g., data lakes, data warehouses, real-time pipelines).
• Strong expertise in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and AWS (Redshift, S3, Glue, Lambda, etc.).
• Expert in SQL and programming languages such as Python.
• Proficient in data warehousing concepts, data lakes, and distributed computing.
• Hands-on experience with Terraform or similar infrastructure-as-code tools.
• Demonstrated experience in technical decision-making, stakeholder engagement, and strategic planning.
• Strong analytical and problem-solving skills.
• Understanding of data quality, lineage, observability.
• Familiar with privacy and compliance (GDPR, HIPAA, etc.).
• Excellent communication and leadership skills, with the ability to influence technical and business leaders.
• Startup mindset — comfortable with ambiguity, rapid iteration, and limited resources.
• Leadership without authority — mentoring junior engineers, influencing architectural decisions.

Benefits

• Annual salary of 230,000 - 260,000 PLN, dependent on experience.
• 40 hour work week.
• Private medical care.
• Retirement pension plan.
• Share the costs of sports activities.