Senior Data Platform Engineer at MOTIFE – Warszawa | Jobyssey

We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere.

We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem.

What we offer:

100% paid medical care
Multisport
Creative tax (KUP)
Home office allowance
MacBook Pro

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If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English.

Requirements:

Technical Expertise

5+ years of experience in software engineering, building and operating production systems
Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin)
Experience working with large-scale, data-intensive systems
Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency)
Experience working in cloud environments (preferably AWS)
Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch)

Data Systems & Architecture

Hands-on experience with large-scale data pipelines and data processing systems
Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows)
Understanding of end-to-end data flow:
- ingestion (how data enters the system)
- transformation (how it is processed)
- storage & access (how other services consume it)
Experience designing systems where data performance, scalability, and reliability are critical

Collaboration & Engineering Mindset

Ability to work cross-functionally with service teams to improve system design and data access patterns.
Strong problem-solving skills with a focus on performance, scalability, and reliability.
Clear communication skills and a collaborative engineering approach.

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