Data and AI Engineer (EMEA)

Jobgether; Portugal; Teletrabalho; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Remote work flexibility

Professional development opportunities

Resumo da oferta

A leading talent matching platform is seeking a Data and AI Engineer to design and optimize data pipelines and backend integrations. The role requires proficiency in Python and experience with big data technologies. Ideal candidates will have 5+ years in data engineering, and strong analytical skills are crucial. This position offers competitive salary and benefits with remote work flexibility within EMEA.

Qualificações

• 5+ years of experience in data engineering or big data analytics with exposure to AI/ML integration.
• Experience designing data pipelines, modeling schemas, and managing large-scale datasets.
• Hands-on experience with big data technologies such as Iceberg, Hive, Presto/Trino.

Responsabilidades

• Design and build high-performance data pipelines for large datasets.
• Integrate AI/ML models into data workflows.
• Collaborate with teams to deploy solutions.

Conhecimentos

Proficiency in Python (Pandas, PySpark, FastAPI)

Strong SQL skills

Problem-solving skills

Communication skills

Formação académica

BSc/MSc in Computer Science, Data Engineering, or related field

Ferramentas

Spark

Docker

Kubernetes

Descrição da oferta de emprego

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data and AI Engineer in EMEA.

As a Data and AI Engineer, you will design, implement, and optimize advanced data pipelines and backend integrations to support next-generation cybersecurity and data-intensive platforms. You will work on scalable ingestion, enrichment, and annotation workflows while enabling AI-driven features such as natural language querying and intelligent analytics. This role involves close collaboration with cross-functional teams to deliver secure, high-performance, and reliable solutions. Your work will directly impact the architecture, efficiency, and intelligence of complex systems, bridging data engineering, applied AI, and cybersecurity in innovative ways. You will also have opportunities to shape cloud and on-premises deployments and influence the adoption of AI technologies across the organization.

Accountabilities

• Design and build high-performance data pipelines for ingestion, transformation, and enrichment of large datasets
• Implement workflows for data correlation, annotation, and contextual enrichment to support analytics and AI features
• Develop and maintain database schemas, optimizing storage strategies for performance and scalability
• Integrate AI/ML models into data workflows, including RAG pipelines and embeddings for advanced analytics
• Ensure reliability and scalability of pipelines and services, including monitoring, error handling, and performance tuning
• Collaborate with DevOps, product, and security teams to deploy, document, and transfer knowledge of solutions

Requirements

• BSc/MSc in Computer Science, Data Engineering, or a related field, or equivalent practical experience
• 5+ years of experience in data engineering or big data analytics, with exposure to AI/ML integration
• Proficiency in Python (Pandas, PySpark, FastAPI) and familiarity with Java/Scala for Spark workflows
• Experience designing data pipelines, modeling schemas, and managing large-scale datasets
• Hands-on experience with big data technologies such as Spark, Iceberg, Hive, Presto/Trino, and Superset
• Strong SQL skills and experience with at least one NoSQL or distributed storage solution
• Practical experience building and deploying APIs and services in cloud or on-prem environments
• Strong problem-solving, debugging, and communication skills; proficient in English
• Nice-to-have: experience with RAG pipelines, LLM applications, GPU acceleration, containerization (Docker/Kubernetes), and cybersecurity concepts

Benefits

• Competitive salary and growth opportunities in a cutting-edge cybersecurity and AI environment
• Remote work flexibility within EMEA
• Opportunity to work on innovative projects combining AI, data engineering, and security
• Collaboration with a multidisciplinary team of engineers, researchers, and AI specialists
• Professional development and exposure to next-generation AI and cybersecurity technologies
• Access to advanced tools, cloud resources, and modern data/AI infrastructure

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job\'s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Non-profit Organizations and Primary and Secondary Education

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