Data & ML Platform Engineer

Overview Are you ready to revolutionise the world with TEKEVER? 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. We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace. 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. Documentation: 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.). Profile and requirements Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. Preferred location of working: UK, Portugal, France and / or Spain 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. Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders. Language Requirements: 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. Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously. Technical Skills: Proficiency in programming languages such as Python, Go, Java, or Rust; strong knowledge of containerization technologies (e.g. 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; Experience implementing observability stacks and logging pipelines (e.g. Prometheus, Grafana, Loki, ELK); Experience with IaC frameworks (e.g. Ansible, Terraform); Understanding of DevOps best practices and tools: GIT, CI / CD, telemetry and monitoring. What we have to offer you An excellent work environment and an opportunity to make a difference; Salary Compatible with the level of proven experience. Do you want to know more about us ? Visit our LinkedIn page at https : / / / company / tekever / #J-18808-Ljbffr