Data & ML Platform Engineer

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.).

• 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.