Job Summary: As a Data Engineer, you will develop modern data platforms within a strategic Utilities project, contributing to digital transformation and working with scalable architectures and high-performance data pipelines. Key Highlights: 1. Participation in a strategic project in the Utilities (Energy) sector 2. Development of modern data platforms for analytics and AI 3. Collaborative and innovative environment focused on real-world impact Job Description As a Data Engineer, you will join a Data & AI team working on a strategic Utilities (Energy) sector project. Your role will be critical in developing modern data platforms that support analytics initiatives, artificial intelligence, and predictive modeling—directly driving the company's digital transformation. You will work in a collaborative and innovative environment, participating in building scalable architectures and high-performance data pipelines while ensuring data availability, quality, and governance. Join a team passionate about data, innovation, and technology—working on projects that deliver real business impact. Here, you’ll find professional development opportunities, collaboration with experts, and access to modern technologies accelerating digital transformation. Together we do what matters. **Learn more about some of our benefits:** * Meal or food allowance * Multibenefit Card (up to Senior Consultant level) * Health and dental insurance * Certifications and training * Life insurance * Private pension plan * Avababy: pregnancy support program and welcome kit for new parents * Company profit-sharing program * Wellhub * Childcare assistance * Career mentoring * Birthday Off policy (one paid day off during your birthday month) * Well-being sessions * For managerial positions: corporate vehicle, parking allowance, and fuel assistance **Responsibilities** * Design, develop, and maintain scalable data pipelines using ETL and ELT practices; * Build and sustain data ingestion, processing, and delivery solutions in cloud environments; * Develop and optimize analytical models in Data Lake and Google BigQuery; * Orchestrate workflows and pipelines using Apache Airflow (Google Composer); * Implement feature engineering processes for Analytics and Machine Learning initiatives; * Ensure data quality, integrity, governance, and performance; * Develop solutions for batch, streaming, and CDC (Change Data Capture) processing; * Apply DataOps, automation, and CI/CD practices in data environments; * Collaborate with data scientists, analysts, and business stakeholders; * Contribute to continuous evolution of the data architecture by proposing improvements and new technologies. Qualification **Skills and Experience** **Mandatory Requirements** * Solid experience in Data Engineering; * Experience developing ETL/ELT pipelines; * Advanced knowledge of Python and SQL; * Experience with Cloud platforms, preferably Google Cloud Platform (GCP), or Azure and AWS environments; * Experience with Google BigQuery; * Hands-on experience with Apache Airflow and/or Google Composer; * Knowledge of modern data architectures and analytical modeling; * Experience with Git and code versioning; Analytical, collaborative, and problem-solving mindset. * **Preferred Qualifications** * Experience with Medallion architecture (Bronze, Silver, Gold); * Knowledge of CI/CD, DataOps, or DevOps practices applied to data environments; * Experience with Machine Learning and Feature Engineering; * Experience in Energy or Utilities sector projects; * Knowledge of streaming data processing and modern analytics architectures.
João Silva
Indeed · HR
João Silva
Indeed · HR
