Data Developer

• Collaborate with business stakeholders and IT teams to understand, document, and design data warehouse processes
• Contribute to the definition, development, and implementation of data warehouse solutions
• Design, develop, test, optimize, and deploy ETL pipelines and related data transformations
• Create and maintain data mapping logic to transfer content from various source systems into the data warehouse
• Plan and coordinate ETL and database rollouts alongside project teams
• Provide support, maintenance, troubleshooting, and resolution for ETL processes
• Implement Data Products in a Data Mesh architecture and optimize pipelines for production-ready workflows
• Administer and manage data environments, tech stack, and traditional databases
• Implement automation and CI/CD practices to ensure efficient development and deployment
• Participate in diagnosing and solving complex data-related problems, documenting configurations, and maintaining best practices
• Collaborate effectively with cross-functional teams to deliver high-quality data solutions that meet business requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• Minimum 3 years of experience in Data Engineering, Data DevOps, or related roles, preferably in banking or telecommunications
• Advanced expertise in SQL, PL/SQL, Python, PySpark and ETL tools such as ODI or similar
• Experience in data modeling, source system analysis, and database design
• Skilled in designing, developing, testing, optimizing, and deploying ETL pipelines (ODI packages, Databricks jobs, Oracle stored procedures)
• Familiarity with data warehouse concepts, data cataloging, profiling, and mapping
• Experience with databases such as Oracle, PostgreSQL, or similar large-scale systems
• Knowledge of data visualization and exploration tools
• Understanding of microservices architectures, cloud solutions (AWS, Databricks), and CI/CD practices (Git, Jenkins, GitHub Actions, Ansible/Terraform)
• Professional level of English (spoken and written)
• Fast learner, proactive, and eager to explore new technologies

Familiarity with Agile–Scrum methodology is a plus

• Relocation package
• Job rotation
• Learning through Arnia Academy
• Attractive projects
• Flexibile working hours
• Performance bonuses
• Medical benefits
• Trainings
• Competitive compensation package
• Referral program
• International work experience