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 DescriptionProject – the aim you’ll have
The project focuses on transitioning from on-prem data warehouse to a modern cloud-based microservices for a major telecommunications provider.
A key component of the initiative is the modernization and adaptation of an existing data flows to the new architecture. The work involves redesigning data flows and funnels, integrating customer data 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:
- Configuring and optimizing Apache NiFi to support current business data flows, ensuring scalability and performance of the solution
- Configuring and maintaining ETL processes between legacy systems and AWS (primarily using Apache NiFi)
- Analyzing, designing, and implementing data flows and data processing pipelines
- Data modeling for analytical and operational use cases
- Processing and integrating data from queueing/streaming systems (Kafka)
- Developing ETL pipelines using AWS Glue, Azure Data Factory, or similar tools
- Designing, developing, testing, and deploying backend services in Python
- Building and maintaining microservices-based systems (nice to have)
- Improving and optimizing existing backend and data processing services
- Translating business requirements into robust and scalable technical solutions
- Collaborating with architects, DevOps engineers, and data engineering teams
- Supporting infrastructure and platform integration initiatives
- Working with containerized environments (Docker) and Kubernetes
- Supporting integration with OpenSearch
Expectations – the experience you need
- Minimum 5 years of commercial experience in backend or data engineering with Python
- Strong experience in data analysis and data flow design
- Hands-on experience with ETL processes
- Strong practical knowledge of Apache NiFi
- Experience integrating legacy systems with cloud environments (AWS preferred)
- Experience working with data streaming or queueing systems (Kafka or similar)
- Data modeling experience
- Hands-on experience with Docker
- Kubernetes familiarity
- Experience with OpenSearch
- Testing experience (PyTest, Cucumber/Behave)
- Experience working with CI/CD pipelines (e.g., GitLab)
Additional skills – the edge you have
- Experience with Apache NiFi performance tuning and scalability optimization
- Experience developing Python microservices (Flask, FastAPI)
- Familiarity with Pydantic and Pandas
- Familiarity with cloud ETL platforms (AWS Glue, Azure Data Factory, or similar)
- Understanding of distributed data processing patterns
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
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.
