[MTM] Senior Software Engineer (Python)

Posted 2 Days Ago
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Hiring Remotely in Warsaw, Warszawa, Masovian
In-Office or Remote
Senior level
Software
The Role
Design, build, test, and deploy backend microservices in Python for a cloud data-lake migration. Integrate streaming/queueing systems (Kafka/ActiveMQ), develop ETL workflows (NiFi, Glue/ADF), optimize scalable data processing, and collaborate with architects, DevOps, and data engineers to support platform integration.
Summary Generated by Built In
Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description

Project – the aim you’ll have

The project focuses on transitioning from a legacy data warehouse to a modern cloud-based data lake architecture for a major telecommunications provider. A key component of the initiative is the modernization and adaptation of an existing campaign management system responsible for delivering targeted marketing communications (e.g. email and SMS) to customers. The work involves redesigning data flows, integrating campaign logic with the new data lake ecosystem, and ensuring scalable, real-time access to customer segmentation and analytics.

Position – how you’ll contribute

Your role will focus on building a pure backend environment (no frontend work) within a distributed, microservices-based architecture:

  • Designing, developing, testing, and deploying backend services in Python
  • Building and maintaining microservices-based systems
  • Processing and integrating data from queueing/streaming systems (Kafka)
  • Designing and managing data flows using Apache NiFi
  • Developing ETL pipelines with AWS Glue, Azure Data Factory, or similar tools
  • Implementing scalable data processing workflows
  • Improving and optimizing existing backend services
  • Translating business requirements into robust technical solutions
  • Collaborating with architects, DevOps engineers, and data engineering teams
  • Supporting infrastructure and platform integration initiatives

Qualifications

Expectations – the experience you need

  • Minimum 5 years of commercial backend experience with Python
  • Practical experience with microservices architecture
  • Experience working with data streaming or queueing systems (Kafka/ ActiveMQ Artemis preferred)
  • Knowledge of data processing and ETL workflows
  • Testing experience (PyTest, Cucumber/Behave)
  • Hands-on experience with containers
  • Kubernetes and Helm familiarity
  • CI/CD pipelines (e.g., GitLab)

Additional skills – the edge you have

  • Experience with Apache NiFi
  • Familiarity with cloud ETL platforms (AWS Glue, Azure Data Factory, or similar)
  • Understanding of distributed data processing patterns

Additional Information

Our offer – professional development, personal growth:

  • Flexible employment and remote work  
  • International projects with leading global clients 
  • International business trips  
  • Non-corporate atmosphere 
  • Language classes 
  • Internal & external training 
  • Private healthcare and insurance  
  • Multisport card 
  • Well-being initiatives 

Top Skills

Python,Kafka,Activemq Artemis,Apache Nifi,Aws Glue,Azure Data Factory,Pytest,Cucumber,Behave,Containers,Kubernetes,Helm,Gitlab Ci/Cd,Microservices,Etl
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The Company
HQ: Cracow
1,000 Employees
Year Founded: 1999

What We Do

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond.

For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery.

A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.

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