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At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making. If you\'re passionate about technology and eager to shape the future — TEKEVER is the place for you. Data & ML Platform Engineer – Responsibilities Data and ML infrastructure: Design and implement scalable data and ML infrastructure using modern cloud and on-prem distributed technologies and frameworks. Data Pipeline Development: Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources. Database Management: Manage and optimize databases and data warehouses to ensure data integrity, performance and availability. Data Integration: Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis. Self-Service Tools: Develop self-service tools that enable stakeholders to extract insights from Data and Machine Learning models. Data & AI Platform development & expansion: support the expansion of our Data & AI Platform. Security & Compliance: Ensure data security, privacy, and compliance. Data Quality Assurance: Implement data validation and quality assurance processes to ensure the accuracy and consistency of data. Collaboration: Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support. Monitoring & Performance Optimization: Implement monitoring, observability, and alerting for data and ML systems and optimize for performance, reliability, and cost-effectiveness. Maintain comprehensive documentation of platform components, APIs, and workflows to ensure knowledge sharing and user adoption (e.g. data pipelines, database schemas, Machine Learning systems, etc.). Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. Experience: 3+ years of experience in data & ML platform engineering or a similar role. Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions. Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages. Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy. Technical Skills: Proficiency in programming languages such as Python, Go, Java, or Rust; Docker) and orchestration systems (e.g. Kubernetes) in production environments; Experience with SQL, database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modeling and schema design; Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Google Cloud certification is preferred; Familiarity with big data technologies (e.g. Spark), data warehousing solutions (e.g. Redshift, Snowflake), data pipeline orchestration (e.g. Airflow), and database systems (SQL and noSQL); Design and manage MLOps pipelines to support model training, deployment and monitoring at scale; Prometheus, Grafana, Loki, ELK); Ansible, Terraform); Understanding of DevOps best practices and tools: GIT, CI / CD, telemetry and monitoring. Visit our LinkedIn page at : / / / company / tekever / #
