Data Engineer – International Client

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, develop, and maintain scalable data and analytics solutions in Databricks environments.

• Build, optimize, and support data pipelines using DBT, SQL, and Jinja.

• Implement and maintain data layers of the Medallion Architecture (Bronze, Silver, and Gold).

• Apply best practices in data modeling for analytical and reporting requirements.

• Develop reusable and maintainable data transformation frameworks and processes.

• Optimize transformations and workflows to enhance performance and scalability.

• Manage source code repositories using Git and GitFlow methodologies.

• Support and contribute to CI/CD automation and deployment practices.

• Gather and analyze business and technical requirements from stakeholders.

• Translate functional and business needs into reliable and effective data solutions.

• Document data processes, architectural decisions, technical designs, and implementation details.

• Collaborate with analysts, architects, and delivery teams throughout the project lifecycle.

• Facilitate workshops, progress reviews, and requirement clarification sessions with clients and stakeholders.

• Ensure the consistent application of governance, traceability, maintainability, and quality standards.

• Monitor and enhance the reliability, performance, and overall quality of data platforms and pipelines.

⛳️ Requirements

• Minimum of 5-7 years of experience.

• Required education: Engineer.

• C1 English proficiency is mandatory.

• Proven experience in production Databricks environments.

• Proficient in DBT, SQL, and Jinja.

• Experience implementing Medallion Architecture (Bronze, Silver, and Gold layers).

• Strong understanding of data modeling principles and best practices.

• Experience designing reusable, scalable, and maintainable data transformation solutions.

• Knowledge of data governance, traceability, maintainability, and documentation.

• Experience with Git and GitFlow methodologies.

• Experience maintaining and supporting CI/CD processes and automation.

• Strong stakeholder management, requirements gathering, and business analysis skills.

• Proven ability to lead workshops, progress reviews, and requirement clarification sessions.

• Excellent communication skills and experience in client-oriented environments.

• Desirable experience with Microsoft Azure Data Services.

• Desirable knowledge of Data Lakes and modern cloud data platforms.

• Desirable experience with Apache Spark, PySpark, and Spark SQL.

• Desirable experience with Apache Airflow.

• Familiarity with Agile methodologies is preferred.

🏝️ Benefits

• Flexible working hours.

• Cutting-edge technologies.

• Possibility of in-person, remote, or hybrid work arrangements.

• Opportunity to work in locations around the world.