Data & ML Platform Engineer

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🌐 Portugal, United Kingdom, +1 more countries – Remote

🇵🇹 Portugal – Remote 🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TEKEVER

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

🎖️ Defense

💼 Consulting

📦 Logistics

💰 $534.2M Venture Round - TEKEVER on 2025-05

Defense • Consulting • Logistics

<TEKEVER> is a technology company specializing in unmanned systems and next-generation satellite systems, delivering integrated hardware and software solutions and related services. The company provides digital transformation, platform and software engineering, airworthiness, 3D printing, training, and consulting for commercial and government customers across multiple international locations. TEKEVER focuses on mission-critical, hardware-integrated systems and services for aerospace and defense-related applications.

📋 Description

• Design and implement scalable data and ML infrastructure using modern cloud and on-premises distributed technologies and frameworks • Design, develop, and maintain scalable data pipelines to collect, process, and store large volumes of data • Manage and optimize databases and data warehouses for data integrity, performance, and availability • Integrate data from APIs, databases, and external data providers into unified datasets • Develop self-service tools enabling stakeholders to extract insights from data and machine learning models • Support the expansion of the Data & AI Platform • Ensure data security, privacy, and compliance • Implement data validation and quality assurance processes • Collaborate with data scientists, analysts, and stakeholders on platform requirements and infrastructure support • Implement monitoring, observability, and alerting for data and ML systems • Optimize systems for performance, reliability, and cost-effectiveness • Maintain comprehensive documentation of platform components, APIs, and workflows

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field • 3+ years of experience in data & ML platform engineering or a similar role • Proficiency in Python, Go, Java, or Rust • Strong knowledge of Docker and Kubernetes in production environments • Experience with SQL, database management systems, data modeling, and schema design • Experience with cloud platforms and their data services, with a focus on Google Cloud • Google Cloud certification is preferred • Familiarity with Spark, Redshift, Snowflake, Airflow, and SQL/NoSQL database systems • Experience designing and managing MLOps pipelines for model training, deployment, and monitoring at scale • Experience implementing observability stacks and logging pipelines, such as Prometheus, Grafana, Loki, and ELK • Experience with Ansible or Terraform • Understanding of DevOps best practices and tools, including Git, CI/CD, telemetry, and monitoring • Affinity, some experience, and strong openness to AI-assisted development tools such as Claude, Claude Code, Cursor, or Copilot • Strong analytical and problem-solving skills • Excellent verbal and written communication skills • High attention to detail and commitment to data quality and accuracy • Ability to work in a fast-paced, dynamic environment and manage multiple priorities • Being located in Portugal, the UK, or France is a bonus

🏖️ Benefits

• A dynamic and collaborative working environment, with the opportunity to make a real impact • A competitive salary package, aligned with your proven level of experience • Meal allowance and health insurance for employees • Bonus in line with company policy • Access to the Employee Assistance Programme (EAP)