Senior Data Engineer - Machine Learning Engineer

February 17

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Yopeso

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Yopeso is a company specializing in crafting bespoke software products that drive business forward. With over 19 years of experience and more than 300 successful projects, Yopeso provides comprehensive services in web and mobile development, UX/UI design, DevOps & cloud, and quality assurance, among others. They cater to diverse industries and pride themselves on their customized approach, ensuring collaboration from ideation to execution. Yopeso's team of over 250 professionals is dedicated to delivering innovative, reliable, and high-performance digital solutions worldwide.

Agile Software Development • Custom Software Development • Web Development • Mobile Application Development • iOS & Android Apps Development

201 - 500 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

📋 Description

• Yopeso has been developing a diverse range of software products for over 19 years • The company values authenticity, curiosity, and ambition • The team strives to create high-quality, high-performance, and secure software solutions • Emphasis on efficient collaboration among passionate professionals in agile teams

🎯 Requirements

• Senior Data Engineer (5+ years experience) with expertise in Google Cloud, Data Science, ML, AI prompt engineering, and dashboarding • Design and optimize data pipelines, AI-driven workflows, and BI solutions while ensuring best practices in software engineering, CI/CD, and cloud infrastructure • Key Responsibilities & Skills: • Google Cloud & Data Engineering: Strong expertise in BigQuery, SQL optimization, and DBT • Proficient in Kafka, Cloud Composer / Apache Airflow for orchestration • Hands-on with IAM, Data Catalog, and Infrastructure as Code (Terraform/Deployment Manager) • Dataflow, Kubernetes (GKE), Vertex AI Pipelines, Kubeflow Pipelines • Programming & DevOps: Expert in Python (OOP, best practices, testing: Pytest, Unittest) • Experience with flake8, mypy, black, SonarQube, pre-commit hooks • Proficient in Unix, Shell scripting, Docker, and CI/CD pipelines (GitHub Actions, Azure DevOps) • Strong Git skills: PR handling, conflict resolution, GitOps best practices • Data Science & Machine Learning: Hands-on with Pandas, NumPy, Scikit-learn, TensorFlow • Strong in feature engineering, data preprocessing, model training & deployment • Experience with MLOps automation and ML models in production • Knowledge of AI prompt engineering for optimizing LLM interactions • Dashboarding & Data Visualization: Proficient in Power BI, Tableau, Looker for interactive dashboards • Experience integrating BigQuery or cloud databases into BI tools • Strong data modeling and visualization skills • Soft Skills: Proactive, problem-solving mindset with strong analytical skills • Effective communication with stakeholders, data scientists, and engineers • Passion for code quality, code reviews, and best practices • Fluency in English

🏖️ 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