Data & ML Platform Engineer

Tekever; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading firm in unmanned technology in Spain seeks a Data & ML Platform Engineer to design scalable data infrastructure and develop data pipelines. Candidates must have 3+ years of experience, a relevant degree, and advanced proficiency in Portuguese and English. This role offers a supportive work environment and a competitive salary based on experience.

Servicios

Excellent work environment

Salary compatible with proven experience

Formación

• 3+ years of experience in data & ML platform engineering or a similar role.
• Strong analytical and problem-solving skills for scalable data solutions.
• Advanced proficiency in Portuguese and English (C2 level).

Responsabilidades

• Design and implement scalable data and ML infrastructure.
• Develop and maintain scalable data pipelines.
• Manage and optimize databases to ensure data integrity.

Conocimientos

Analytical Skills

Communication

Attention to Detail

Adaptability

Proficiency in Python

Proficiency in Go

Proficiency in Java

Proficiency in Rust

Knowledge of Docker

Knowledge of Kubernetes

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

AWS

Azure

Google Cloud

MySQL

PostgreSQL

SQL Server

Descripción del empleo

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 : / / www.linkedin.com / company / tekever /