Senior Data Engineer, Machine Learning Engineer

Summary

Join Yopeso, a 19-year-old software company with over 250 employees, and become a Senior Data Engineer. We offer competitive remuneration, remote work, 24 days off plus floating days, private health services, flexible benefits, referral bonuses, team events, training and development, and professional certifications. You will design and optimize data pipelines, AI-driven workflows, and BI solutions using Google Cloud technologies. This role requires extensive experience in data engineering, data science, machine learning, and dashboarding. We value a proactive, problem-solving mindset and strong communication skills.

Requirements

• Have 5+ years of experience
• Possess expertise in Google Cloud, Data Science, ML, AI prompt engineering, and dashboarding

Responsibilities

• Design and optimize data pipelines, AI-driven workflows, and BI solutions
• Ensure best practices in software engineering, CI/CD, and cloud infrastructure
• Demonstrate strong expertise in BigQuery, SQL optimization, and DBT
• Show proficiency in Kafka, Cloud Composer / Apache Airflow for orchestration
• Be hands-on with IAM, Data Catalog, and Infrastructure as Code (Terraform/Deployment Manager)
• Utilize Dataflow, Kubernetes (GKE), Vertex AI Pipelines, and Kubeflow Pipelines
• Exhibit expertise in Python (OOP, best practices, testing: Pytest, Unittest)
• Demonstrate experience with flake8, mypy, black, SonarQube, and pre-commit hooks
• Show proficiency in Unix, Shell scripting, Docker, and CI/CD pipelines (GitHub Actions, Azure DevOps)
• Possess strong Git skills: PR handling, conflict resolution, GitOps best practices
• Be hands-on with Pandas, NumPy, Scikit-learn, and TensorFlow
• Demonstrate strength in feature engineering, data preprocessing, model training & deployment
• Show experience with MLOps automation and ML models in production
• Demonstrate knowledge of AI prompt engineering for optimizing LLM interactions
• Show proficiency in Power BI, Tableau, Looker for interactive dashboards
• Demonstrate experience integrating BigQuery or cloud databases into BI tools
• Demonstrate strong data modeling and visualization skills
• Maintain a proactive, problem-solving mindset with strong analytical skills
• Communicate effectively with stakeholders, data scientists, and engineers
• Show passion for code quality, code reviews, and best practices
• Demonstrate fluency in English

Preferred Qualifications

• Possess Google data engineering skills
• Be familiar with MLOps
• Have experience with Google Vertex AI pipeline
• Be familiar with CI/CD processes

Benefits

• Competitive remuneration
• Remote work
• 24 days off per year and floating days
• Private clinic health services Regina Maria Medical Insurance
• Flexible benefits through Up multibenefits platform
• Referral bonus scheme
• Team events, online or at the office
• Training and development opportunities with allocated budget
• Professional Certifications
• Knowledge sharing context