About the project

• What product do we develop?
• We are building an innovative solution, KMD Elements, on Microsoft Azure cloud dedicated to the energy distribution market (electrical energy, gas, water, utility, and similar types of business). Our customers include institutions and companies operating in the energy market as transmission service operators, market regulators, distribution service operators, energy trading, and retail companies.
• KMD Elements delivers components allowing implementation of the full lifecycle of a customer on the energy market: meter data processing, connection to the network, physical network management, change of operator, full billing process support, payment, and debt management, customer communication, and finishing on customer account termination and network disconnection.
• The key market advantage of KMD Elements is its ability to support highly flexible, complex billing models as well as scalability to support large volumes of data. Our solution enables energy companies to promote efficient energy generation and usage patterns, supporting sustainable and green energy generation and consumption.

Your responsibilities

• Develop and maintain the leading IT solution for the energy market using Apache Spark, Databricks, Delta Lake, and Apache Kafka
• Have end-to-end responsibility for the full lifecycle of features you develop
• Design technical solutions for business requirements from the product roadmap
• Maintain alignment with architectural principles defined on the project and organizational level
• Ensure optimal performance through continuous monitoring and code optimization.
• Refactor existing code and enhance system architecture to improve maintainability and scalability.
• Design and evolve the test automation strategy, including technology stack and solution architecture.
• Prepare reviews, participate in retrospectives, estimate user stories, and refine features ensuring their readiness for development.

Our requirements

• Have 4+ years of Apache Spark experience and have faced various data engineering challenges in batch or streaming
• Have an interest in stream processing with Apache Spark Structured Streaming on top of Apache Kafka
• Have experience leading technical solution designs
• Have experience with distributed systems on a cloud platform
• Have experience with large-scale systems in a microservice architecture
• Are familiar with Git and CI/CD practices and can design or implement the deployment process for your data pipelines
• Possess a proactive approach and can-do attitude
• Are excellent in English and Polish, both written and spoken
• Have a higher education in computer science or a related field
• Are a team player with strong communication skills

Optional

• Apache Spark Structured Streaming
• Azure
• Domain Driven Development
• Docker containers and Kubernetes
• Message brokers (i.e. Kafka) and event-driven architecture
• Agile/Scrum

Technologies we use

This is how we work on a project

• Clean Code

• code review

• DDD

• Continuous Deployment

• Continuous Integration

• test automation

What we offer

• Contract type: B2B

• Work Mode: Flexible — this role supports on-site, hybrid, and remote arrangements, depending on your individual preferences.

• Occasional on-site presence may be required — for example, onboard new team members, explore new business domains, or refine requirements in close collaboration with stakeholders or team building activities.