Senior Data Engineer/Machine Learning Engineer

Summary

Join Yopeso, a 20-year-old software company with over 250 employees, and become a Senior Data Engineer. We offer competitive remuneration, remote work, and a comprehensive benefits package. 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, machine learning, and data visualization. We value a proactive, problem-solving mindset and strong communication skills. Professional development opportunities and a supportive team environment are provided.

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
• Sports/leisure benefit
• 20 sick leave days paid at 100%
• 32 calendar days of vacation
• Team events, online, at the office or outside
• Professional development plan with guidance and mentorship
• Training and development opportunities with allocated budget
• Professional Certifications
• Optional medical insurance