Data Engineer (Spark / Streaming / Java)

Nasze wymagania: 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 Mile widziane: Apache Spark Structured Streaming Azure Domain Driven Development Docker containers and Kubernetes Message brokers (i.e. Kafka) and event-driven architecture Agile/Scrum O projekcie: How do we work? #Agile #Scrum #Teamwork #CleanCode #CodeReview #Feedback #BestPracticies • We follow Scrum principles in our work – we work in biweekly iterations and produce production-ready functionalities at the end of each iteration – every 3 iterations we plan the next product release • We have end-to-end responsibility for the features we develop – from business requirements, through design and implementation up to running features on production • More than 75% of our work is spent on new product features • Our teams are cross-functional (7-8 persons) – they develop, test and maintain features they have built • Teams’ own domains in the solution and the corresponding system components • We value feedback and continuously seek improvements • We value software best practices and craftsmanship Product principles: • Domain model created using domain-driven design principles • Distributed event-driven architecture / microservices • Large-scale system for large volumes of data (>100TB data), processed by Apache Spark streaming and batch jobs powered by Databricks platform Zakres obowiązków: 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. Oferujemy: Professional Development Grow in your role Enjoy on-site meetups Participate in conferences in Poland and abroad Attend an average of 40 hours of training yearly Take part in Internal Mobility Program Scandinavian Culture and Workplace Earn Competitive hourly rates/salary Enjoy MyBenefit Cafeteria system with wide range of services Make the most of your work and life Sport & passion communities and CSR initiatives Work in a human-oriented company Use high-level equipment Feel good at green and ergonomic office and enjoy surprise treats Meaningful and impactful work Make an impact that lasts - create and implement technological solutions And improve the lives of millions of people in the public and private sectors Talented and Trusted People Cooperate with open-minded colleagues Work with experienced managers in an atmosphere full of trust