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Salary
≈ $64k – $107k per year (Estimated)
Location
Hybrid (Warsaw, Poland)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Mar 9, 2026. MOTIFE scores A on the Alion truth index.

Overview
Company
Impact
Profile match
MOTIFE is a Polish recruitment and consulting company that helps foreign technology businesses build teams in Poland. It offers nearshoring, staff augmentation, IT recruitment and executive search, as well as operations setup, financial controlling and HR outsourcing for companies opening entities in the country. The company is headquartered in Kraków, Poland.

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.

Key takeaways:

Stack: Python, Kafka, Spark, PostgreSQL, AWS

Salary: 23.000 - 30 000 PLN gross per month on Employment Contract

Working model: hybrid - 3x weekly from the office

Location: ul. Grzybowska 60, Warsaw

Recruitment process:

  • A call with Motife recruiter (30 min)
  • Coding Interview (1h)
  • Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total)

Responsibilities:

Data Infrastructure Engineering

  • Design, build, and operate backend systems that rely on scalable and highly available data persistence layers.
  • Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability.
  • Improve the reliability and performance of production datastores used by critical services.

Data Performance & Optimization

  • Partner with service teams to improve database schema design, query performance, and data modelling.
  • Optimize data access patterns and indexing strategies for relational and NoSQL databases.
  • Support teams in designing systems that scale efficiently under high load.

Developer Experience & Platform Tooling

  • Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers.
  • Contribute to infrastructure automation using tools such as Terraform and internal developer platforms.
  • Improve observability and operational insight into datastore performance and reliability.

Platform Reliability & Observability

  • Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems.
  • Develop autoscaling and performance optimization strategies for critical data infrastructure.
  • Support operational excellence by reducing manual processes and improving system resilience.

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.

What we offer:

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

Apply now

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.

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