Data and AI Engineer (EMEA) at Jobgether

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Integration, Python, Pandas, PySpark, FastAPI, Java, Scala, Spark, Big Data, SQL, NoSQL, APIs, Cloud, Cybersecurity, Problem-Solving

Industry

Internet Marketplace Platforms

Description

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. 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. 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! #LI-CL1

Responsibilities

Design and build high-performance data pipelines for ingestion, transformation, and enrichment of large datasets. Collaborate with cross-functional teams to deliver secure, high-performance, and reliable solutions.