Senior Data Platform Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on a global fitness and wellness data platform emphasizing data scalability and performance. The stack includes Python, Kafka, Spark, PostgreSQL, AWS. Responsibilities cover designing and operating scalable, multi-region data systems, performance optimization, infrastructure automation using Terraform, and supporting teams in data modeling and query improvement. Benefits include full medical care, Multisport, home office allowance, MacBook Pro.

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Senior Data Platform Engineer

Company: Motife Sp. z o.o.

from: 9 June 2026
to: 9 July 2026
23 000 - 30 000gross/ mth.contract of employment (full-time)
Salary details
basic salary
Offer parameters
level:senior
working mode:hybrid
Warszawa, Wola
Warszawa, WolaGrzybowska 60View on map

Requirements

Expected technologies

AWS
PostgreSQL
Python
Spark
Kafka

Optional technologies

Java
Kotlin
MySQL
DynamoDB
Redis
Elasticsearch

Operating system

macOS

Our requirements

  • 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)
  • 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
  • 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.

Your responsibilities

  • 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.
  • 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.
  • 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.
  • 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.

About the project

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

This is how we organize our work

This is how we work

in houseyou develop several projects simultaneouslyyou have influence on the technological solutions appliedyou have influence on the productyou focus on product developmentyou focus on code maintenanceagile

Team members

backend developerfrontend developerfullstack developermobile developerdevOpsautomated test programmer

This is how we work on a project

  • Clean Code
  • TDD
  • Continuous Deployment
  • Continuous Integration
  • DevOps
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.
Company

What we offer

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

Recruitment stages

  • 1.
    A call with Motife recruiter (30 min)
  • 2.
    Coding Interview (1h)
  • 3.
    Interview panel (up to 2.5h in total)
Senior Data Platform Engineer
23k–30k zł / mth. (CoE)
I apply to:
Motife Sp. z o.o.
Warszawa, Wola
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