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Data Developer

Romania, Bucharest · Job Posted January 14, 2026
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Job Description

Join our team as a Data Developer and play a key role in connecting data analytics with software engineering. You will help design, develop, and optimize cutting-edge data infrastructure, with a focus on Databricks and cloud environments, while supporting and improving existing applications. You will collaborate closely with business stakeholders, IT teams, and data engineers to deliver high-quality, scalable, and efficient data solutions.

Job Responsibility

  • 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

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

Nice to have

Familiarity with Agile–Scrum methodology is a plus

What we offer

  • 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

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