Senior Data Lead Engineer

Description

Summary: As a Senior Data Lead Engineer, you will lead the evolution of cloud-based data, AI, and BI platforms, owning the data lakehouse architecture and enabling high-impact analytics. Highlights: 1. Lead the evolution of cloud-based data, AI, and BI platforms 2. Own and evolve the data & AI roadmap ensuring scalability and security 3. Act as a technical leader and mentor within the data organization 1 Opening Bogota ### **Role description** **Senior Data Lead Engineer** **Location:** Málaga (Relocation) **¡Seguimos buscando talento…y nos encantaría que te unieras a nuestro equipo!** Para que nos conozcas algo mejor, UST es una multinacional norteamericana certificada como Top Employer y Great Place to Work con más de 35\.000 empleados a nivel global y con presencia en más de 35 países. Somos líderes en servicios de tecnología digital y proporcionamos soluciones tecnológicas de gran alcance a grandes compañías. **Role Summary** As a **Senior Data Lead Engineer**, you will lead the evolution of cloud\-based data, AI, and BI platforms, owning the data lakehouse architecture and enabling high\-impact analytics and AI use cases in a regulated, large\-scale environment. **What You’ll Actually Do** * Own and evolve the data \& AI roadmap ensuring scalability, security, and cost efficiency. * Design and maintain the enterprise lakehouse architecture. * Deliver high\-quality, trusted datasets for analytics, BI, and AI use cases. * Act as a technical leader and mentor within the data organization. **Must\-Have Requirements (Real Essentials)** These are the non\-negotiables—everything else is a plus. **Core Experience** * 5\+ years in Data Engineering / Data Platforms / Advanced Analytics (enterprise or regulated environments). * Proven experience designing and owning cloud data platforms and lakehouse architectures (preferably AWS). * Hands\-on experience with Databricks or EMR (Spark) for large\-scale data processing. * Strong background building data ingestion \& ETL pipelines, including CDC and event\-driven architectures. * Experience enabling AI/ML use cases in production (end\-to\-end, not just POCs). **Architecture \& Engineering** * Strong knowledge of AWS data services (S3, Glue, EMR, Lake Formation). * Solid SQL and Python for data processing and automation. * Experience with hybrid architectures (on‑prem \+ cloud) and enterprise data integration. * Practical understanding of data governance, data quality, lineage, and security guardrails. **Data as a Product** * Experience working with business and BI teams to define KPIs and deliver consumable datasets. * Ability to design well\-modeled datasets and semantic layers optimized for analytics and reporting. * Familiarity with data mesh principles (domain ownership, data\-as\-a\-product mindset). **Leadership** * Proven ability to lead technically, mentor engineers, and influence stakeholders without direct authority. * Strong communication skills with both technical and non\-technical audiences. **Nice to Have (We Won’t Filter You Out for This)** * AWS or Databricks certifications. * Experience with ML workflows (feature engineering, training, deployment, monitoring). * Exposure to LLMs (RAG, fine\-tuning, prompt engineering, guardrails). * Experience with CI/CD, orchestration tools, or Infrastructure as Code. * Familiarity with BI tools (QuickSight, Power BI, Qlik) from a data provider perspective. **¿Qué te ofrecemos?** * 100 % Remoto * Plataformas de aprendizaje * Beneficios corporativos * Ambiente diverso y global Si quieres conocer más, no dudes en inscribirte y nos pondremos en contacto contigo para ampliarte información de la posición ¡Te estamos esperando! En UST nos comprometemos con la igualdad de oportunidades en nuestros procesos de selección y no realizamos ningún tipo de discriminación por razón de raza, género, discapacidad, edad, religión, orientación sexual o nacionalidad. Estamos comprometidos con la discapacidad y apostamos por la incorporación de personas con certificado de discapacidad. ### **Skills** data engineering,aws s3,aws glue,aws lake formation,cloud platforms, ### **About UST** UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.