Must have

• Python

• Airflow

• SQL

• ETL

• Apache Spark

• Kafka

• English (C1)

Nice to have

• CloudFormation

Requirements description

• 5+ years of experience as a Data Engineer or in a related infrastructure role;
• Proven experience with AWS and Google Cloud data ecosystems (S3, BigQuery, Redshift, Pub/Sub, Dataflow, etc.);
• Strong proficiency in Python and SQL, with ETL/ELT pipeline development expertise;
• Hands-on experience with orchestration tools like Airflow or Astronomer;
• Solid understanding of streaming and message-based architectures (Kafka, Kinesis, Pub/Sub);
• Experience with Apache Spark or similar big data frameworks;
• Knowledge of Terraform, Kubernetes, or CloudFormation is a plus;
• Excellent communication skills in English (B2–C1) and a collaborative mindset.

Offer description

We’re seeking a Data Engineer to join our team and lead data infrastructure development for a well-funded healthtech startup building a wearable-driven platform. You’ll design, implement, and scale the cloud data systems powering continuous health analytics for up to one million active users.

About the Project

You’ll build and maintain data pipelines and real-time processing systems that collect and analyze wearable and mobile health data at scale. The goal is to deliver secure, compliant, and performant data infrastructure that supports clinicians, caregivers, and researchers with actionable insights, while maintaining full compliance with HIPAA and GDPR standards.

In exchange for your skills, we offer:

• Supportive relationships, built on transparency and a flat structure, in a diverse and multinational team;
• Office in the center of historical Kraków, where your dog is always welcome;
• Flexibility when it comes to working from the office or home;
• Perks include Multikafeteria, Group Life Generali insurance, Signal Iduna, Multisport, and 1:1 language lessons;
• Sports and other events, including weekly running, squash, and team lunches on the house;
• Free tea, coffee, and all-you-can-eat fruits and nuts in the office.

Your responsibilities

1. Design and implement scalable, cloud-based data infrastructure across AWS and Google Cloud;
2. Build and manage data pipelines for ingestion, transformation, and storage of IoT and mobile health data;
3. Develop and maintain data warehouses and hybrid architectures ensuring performance and portability;
4. Implement real-time and batch data processing frameworks for continuous event-driven workflows;
5. Integrate with healthcare data systems and manage consent-based data sharing;
6. Build and monitor real-time health alerting systems and event detection logic;

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