Senior Data Engineer

At Rotoplas, WE ARE MORE!

We are dedicated to improving people's quality of life through innovative and sustainable water solutions. We promote diversity and inclusion, seeking to add more people, like you, who share our values and help us fulfill our mission.

• We are looking for a Senior Data Engineer who acts as the technical and strategic reference for the area. If you have a passion for defining excellence standards, designing scalable infrastructures, and leading technological innovation with a focus on Artificial Intelligence, this position is for you!

• How would you contribute to our mission?

• You will design, build, implement, and manage structured and unstructured data management systems. You will define the long-term technological roadmap, ensuring governance, cost optimization (FinOps), and the operational stability of the data ecosystem.

• What actions will you perform?

• Definition of Global Standards: Establish development, security, naming, and documentation policies for the team.

• Strategic Architecture: Design scalable data infrastructures that support the integration of large volumes of data and new business units.

• Leadership in SAP Integration: Define and supervise massive data extraction through advanced protocols (AecorSoft, BigQuery).

• AI Adoption: Lead the strategic integration of AI services (Vertex AI/Gemini) to automate governance and intelligent processing.

• Cost Management (FinOps): Audit cloud resource consumption and execute Cloud budget optimization plans.

• Collaboration and Mentoring: Act as the final level of technical escalation and provide coaching to develop talent at Junior and Semi-Senior levels.

• This job is for you if you have:

• More than 5 or 6 years leading complex enterprise data engineering projects.

• Solid experience in Data Management, data modeling, and architecture (Data Lake, Lakehouse and/or Data Fabric).

• Expert mastery of Python, SQL, Terraform or IaC tools.

• Advanced experience in Google Cloud Platform (GCP), Cloud Composer and Dataform.

• Deep knowledge of SAP data architecture (FI/CO, SD, MM modules).

• Experience in CI/CD flows, DataSecOps, and agile methodologies.

• Degree in Systems Engineering, Computer Science, or a related field (Postgraduate desirable).

• Advanced English (technical and business fluency).

• What we offer:

• An environment based on equity and respect, where equal opportunities are guaranteed without discrimination. The opportunity to generate a real and sustainable impact on society through technology.

• Requirements

• Minimum education: Higher education - Bachelor's degree years of experience

Keywords: engineers, ingeniera, ing, engineer, data, senior, sr