Take your career to the next level with Amaris Consulting as a Data Engineer. Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will have a proven track record in building scalable, high-quality data solutions and is comfortable working across the full data lifecycle. Spanish fluency is required as part of this role, with B2 English needed for global collaboration.
✍️ WHAT WOULD YOU NEED? ✍️
- 4+ years of experience as a Data Engineer .
- Strong proficiency with Python and SQL for backend and data-centric development.
- Experience with ETL/ELT pipeline design and orchestration (e.G., Apache Airflow, Talend, or custom frameworks).
- Solid knowledge of data modeling, data warehousing concepts, and version control tools such as Git .
- Familiarity with containerization and orchestration tools (Docker, Kubernetes) .
- Proven experience with CI/CD automation and infrastructure as code in data environments.
- Advanced proficiency in Spanish ;
English fluent
- Strong problem-solving skills and ability to work both independently and as part of a team.
WHAT WILL YOU BE DOING?
- Develop and maintain robust ETL/ELT data pipelines using Python and SQL to ensure efficient data flow and transformation.
- Create efficient, reusable data processing components and automation frameworks.
- Design, optimize, and maintain database and data warehouse structures to ensure data integrity, performance, and governance.
- Collaborate with data analysts, business stakeholders, and IT teams to deliver high-quality, scalable data solutions.
- Participate in CI/CD pipeline implementation and deployment of containerized data applications using Docker and Kubernetes .
- Implement data governance standards, including lineage tracking, documentation, security, and GDPR compliance .
- Stay current with the latest industry trends and emerging technologies in data engineering, cloud platforms, and automation .