At a Glance
- Tasks: Design and implement data pipelines, develop APIs, and integrate diverse data sources.
- Company: BABEL, a multinational tech consultancy driving digital transformation.
- Benefits: Flexible work options, health insurance, personal trainer, and wellness programmes.
- Other info: Dynamic environment with opportunities for professional growth and innovative projects.
- Why this job: Join us to work with cutting-edge tech and make a real impact in digital transformation.
- Qualifications: Strong Python and SQL skills, experience in software engineering or AI.
The predicted salary is between 60000 - 80000 € per year.
BABEL es una consultora tecnológica multinacional especializada en acelerar procesos digitales de grandes empresas y organismos públicos.
Responsabilidades
- Diseñar e implementar pipelines para bases de conocimiento, grafos y bases vectoriales.
- Desarrollar APIs y servicios para exposición y consumo de datos mediante IA/LLMs.
- Integrar fuentes estructuradas y no estructuradas (Data Lakes, S3, SharePoint, FileNet, etc.).
- Construir capacidades de RAG, búsqueda semántica, enriquecimiento de metadatos y Text-to-SQL.
- Participar en procesos de monitorización, observabilidad y preparación para producción.
- Colaborar con arquitectos, equipos de datos y stakeholders en entornos ágiles.
Perfil
- Experiencia sólida en Python y SQL.
- Experiencia en ingeniería de software, datos o IA en entornos productivos.
- Conocimiento de bases de datos de grafos y consultas con Gremlin, SPARQL o Cypher.
- Experiencia desarrollando APIs con FastAPI o frameworks similares.
- Experiencia integrando servicios LLM en cloud (AWS Bedrock o similares).
- Conocimiento de PostgreSQL/Aurora y optimización de rendimiento.
- Experiencia combinando SQL, grafos y búsqueda vectorial.
- Conocimientos de Docker, Git y CI/CD.
- Experiencia en cloud (AWS y/o Azure).
- Visión orientada a escalabilidad, fiabilidad y mantenibilidad.
- Más valorables Amazon Neptune y modelado avanzado de grafos.
- LangChain, LangGraph, LlamaIndex o frameworks similares.
- Kubernetes, Terraform y prácticas DevOps / Platform Engineering.
- Databricks, Spark, Kafka y arquitecturas orientadas a eventos.
- Experiencia en OCR, inteligencia documental o procesamiento multimodal.
- Arquitecturas híbridas de recuperación combinando datos relacionales, vectoriales y grafos.
Beneficios
- Apostamos por la flexibilidad laboral-personal (Sistema de vacaciones por puntos, teletrabajo y flexibilidad).
- Invertimos en la formación de nuestros Babelievers.
- Invertimos en tu salud física y emocional (Seguro Médico Privado/ Seguro de vida, entrenador personal y programa de wellbeing).
- Invertimos también en tu tiempo libre (Actividades en la naturaleza, campeonatos deportivos, suscripción a plataforma streaming (por Ej. Netflix)).
- Participamos del crecimiento de la compañía y reconocemos la participación de cada persona (Bono de Beneficios).
- Ponemos foco en trabajar con últimas tecnologías y proyectos innovadores, pero sobre todo acompañamos a la transformación digital y acercamos la tecnología a la sociedad.
¿Aceptas el desafío? ¡Te esperamos!
AI Data Platform Engineer (MLOps) in Orkney employer: Babel
BABEL is an exceptional employer that prioritises flexibility and personal well-being, offering a unique benefits package that includes a points-based holiday system, private health insurance, and wellness programmes. Our collaborative work culture fosters innovation and growth, providing ample opportunities for professional development while working with cutting-edge technologies in a dynamic environment. Join us in our mission to drive digital transformation and make technology accessible to society.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Platform Engineer (MLOps) in Orkney
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI, data pipelines, and APIs. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to MLOps and data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at BABEL.
We think you need these skills to ace AI Data Platform Engineer (MLOps) in Orkney
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Data Platform Engineer role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in MLOps and data integration.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with BABEL's mission. Don’t forget to mention your experience with cloud services and APIs.
Showcase Relevant Projects:If you've worked on projects involving graph databases or LLM integrations, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our team at BABEL!
How to prepare for a job interview at Babel
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on Python, SQL, and any frameworks like FastAPI. Being able to discuss your experience with these tools will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data integration or API development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company’s Vision
Research BABEL and their approach to digital transformation. Be ready to discuss how your skills can contribute to their mission of bringing technology closer to society. This shows genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project methodologies, and future technologies they plan to adopt. This not only demonstrates your enthusiasm but also helps you gauge if the company culture aligns with your values.
