Data & ML Platform Engineer

This is a fully remote position, open to applicants in Portugal, +2 more countries.

📋 Description

• Design and develop scalable data and machine learning infrastructure utilizing contemporary cloud and on-premises distributed technologies and frameworks.

• Create, enhance, and sustain scalable data pipelines for the collection, processing, and storage of large data volumes.

• Oversee and optimize databases and data warehouses to ensure data integrity, performance, and availability.

• Integrate data from APIs, databases, and external data sources into cohesive datasets.

• Build self-service tools that empower stakeholders to derive insights from data and machine learning models.

• Assist in the growth of the Data & AI Platform.

• Guarantee data security, privacy, and compliance with regulations.

• Establish data validation and quality assurance processes.

• Collaborate with data scientists, analysts, and stakeholders regarding platform requirements and infrastructure support.

• Implement monitoring, observability, and alerting systems for data and ML platforms.

• Enhance systems for optimized performance, reliability, and cost-efficiency.

• Maintain thorough documentation of platform components, APIs, and workflows.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related discipline.

• Over 3 years of experience in data and ML platform engineering or a comparable role.

• Proficient in programming languages such as Python, Go, Java, or Rust.

• In-depth knowledge of Docker and Kubernetes in production settings.

• Experienced with SQL, database management systems, data modeling, and schema design.

• Familiarity with cloud platforms and their data services, particularly Google Cloud.

• Google Cloud certification is a plus.

• Knowledge of Spark, Redshift, Snowflake, Airflow, and SQL/NoSQL database systems.

• Proven experience in designing and managing MLOps pipelines for model training, deployment, and monitoring at scale.

• Experience with observability stacks and logging pipelines, including Prometheus, Grafana, Loki, and ELK.

• Proficient in using Ansible or Terraform.

• Understanding of DevOps best practices and tools, including Git, CI/CD, telemetry, and monitoring.

• Interest, some experience, and a strong openness to AI-assisted development tools such as Claude, Claude Code, Cursor, or Copilot.

• Excellent analytical and problem-solving capabilities.

• Strong verbal and written communication skills.

• High attention to detail and a commitment to data quality and accuracy.

• Ability to thrive in a fast-paced, dynamic environment while managing multiple priorities.

• Being located in Portugal, the UK, or France is a plus.

🏝️ Benefits

• A vibrant and collaborative work environment, offering the chance to make a significant impact.

• A competitive salary package that reflects your proven experience level.

• Meal allowance and health insurance for employees.

• Performance-based bonus in accordance with company policy.

• Access to the Employee Assistance Programme (EAP).