Data Scientist Engineering & Technical Software jobs at Jacobs in Poland, Krakow

Responsibilities:

• Design, develop, and optimize data architectures that support AI and Machine Learning workflows
• Integrate large-scale datasets from multiple sources to ensure consistency, accessibility, and performance
• Build scalable, automated data pipelines to support real-time and batch data processing
• Utilize AWS ETL services such as AWS Glue, Lambda, and Data Pipeline to manage data ingestion, transformation, and integration tasks
• Collaborate with data scientists and ML engineers to ensure data infrastructure aligns with AI/ML model requirements
• Monitor and maintain data workflows to ensure reliability, scalability, and cost-efficiency
• Continuously improve data engineering practices to support evolving AI/ML use cases and business needs

Responsibilities:

• Conduct the process of analyzing, estimating, modeling, testing, and deploying assigned requirements
• Work with clients (internal and external) to understand business requirements
• Develop robust applications and efficient code
• Design, develop, and deploy AI models using LLMs with minimal supervision
• Develop and maintain complex data pipelines independently
• Identify, troubleshoot, and resolve application quality and performance issues
• Implement comprehensive testing and QA procedures to ensure functionality prior to delivery
• Actively collaborate with sprint team members and management to drive project goals
• Proactively identify, manage, and escalate risks, issues, and other problems, providing detailed status reports to the management team
• Debug, monitor, and troubleshoot solutions, recommending and implementing optimizations
• Create and maintain thorough documentation of technical specifications

Key Responsibilities:

• Apply strong object-oriented programming principles in Java to design and implement robust and scalable solutions
• Leverage Java 8 features, including streams, functional interfaces, and collections, to enhance code readability and maintainability
• Design and develop web applications using MVC frameworks, incorporating dependency injection for improved modularity and testability
• Implement RESTful services using JAX-RS and adhere to best practices for designing and consuming REST APIs
• Utilize JUnit, Wiremock, and Mockito for effective unit testing, mocking, and behaviour-driven development. Transition from other frameworks seamlessly, including TestNG
• Use OpenAPI Swagger to specify and document exposed APIs, ensuring clarity and consistency
• Implement code quality checks using SonarQube and ensure security through Redhat SSO
• Utilise a range of libraries and frameworks, including Feign, Mustache, Spring, Guice, Swagger, and Spring Boot
• Work with various data storagesolutions, including ElasticSearch, RDS, Aurora, Postgres, ElasticCache, OpenSearch, and Debezium
• Implement hosting and orchestration using Docker, Kubernetes, and AWS Autoscaling Groups (ASG)
• Oversee web container management using Tomcat and NGINX. - Implement monitoring and logging solutions using the ELK stack
• Set up and manage the CI/CD pipeline using BitBucket, Maven, Terraform, Jenkins, Ansible/Packer, and Kustomize
• Work with Kafka, SQS for queuing solutions and implement scheduling using Jenkins/Ansible