Senior AI Data Engineer

We are seeking a Senior AI Data Engineer to design, build, and maintain scalable data platforms and AI-ready data pipelines that power machine learning, generative AI, analytics, and business intelligence solutions. The ideal candidate combines strong data engineering expertise with a solid understanding of machine learning workflows, MLOps, and modern AI technologies. The role involves collaborating with data scientists, programmers, and business stakeholders to deliver reliable, high-quality data solutions that enable AI-driven products and decision-making. Your Key Responsibilities Data Engineering & Architecture Design, develop, and optimize scalable batch and real-time data pipelines; Build and maintain data lakes, data warehouses, and modern data platforms; Implement data modeling, transformation, validation, and governance processes; Ensure data quality, reliability, security, and compliance across systems; Optimize data storage, processing performance, and cost efficiency. AI & Machine Learning Enablement Develop data infrastructure supporting machine learning and generative AI applications; Create feature engineering pipelines and feature stores; Support model training, deployment, monitoring, and retraining workflows; Integrate vector databases, embedding pipelines, and retrieval systems for GenAI applications; Collaborate with Data Scientists and ML Engineers to operationalize AI solutions. Cloud & Platform Engineering Design cloud-native data solutions on AWS, Azure, or Google Cloud; Implement infrastructure-as-code and automation practices; Build CI/CD pipelines for data and AI workloads; Monitor system performance and troubleshoot production issues. Leadership & Collaboration Participate in architecture reviews and strategic technology decisions; Collaborate with product managers and business stakeholders to define requirements; Promote engineering best practices and data governance standards. A Successful Candidate Must Have 5+ years of Data Engineering experience; 2+ years working with AI/ML platforms or AI-powered products; Strong Python and SQL skills; Hands-on experience with ClickHouse in production; Experience building large-scale ETL/ELT pipelines; Strong knowledge of cloud platforms (AWS, Azure, or GCP); Experience with Spark, Databricks, Kafka, and workflow orchestration tools (Airflow, Dagster, or Prefect); Understanding of data warehousing, data modeling, and distributed systems. Extra Great To Have Experience with vector databases (Qdrant, Pinecone, Weaviate, Milvus); Knowledge of LLMs, RAG architectures, MLOps, MLflow, Kubeflow, or cloud ML platforms; Experience with Docker, Kubernetes, Terraform, and modern CI/CD practices. Salary: From 3310 EUR/month (gross) … mais Pesquise vagas mais rápido com Premium Acesse informações sobre empresas, como prioridades estratégicas, tendências de número de funcionários e muito mais Jonatas e outros milhões de usuários têm contas Premium Reative o Premium Aproveite o suporte 24 horas e cancele quando quiser. Sobre a empresa Nordcurrent 26.802 seguidores Seguir Jogos para computador • 201-500 funcionários • 290 no LinkedIn Nordcurrent is a developer and publisher of casual games for smartphones, tablets, and PC/Mac, established in 2002 in Vilnius, Lithuania. Headquartered in Lithuania, Nordcurrent has development studios in Vilnius, Dnipro, Warsaw, Gothenburg, and is a growing team of 360+ colleagues. During the last 22 years, Nordcurrent has developed more than 50 games for various platforms. The studio’s biggest hit so far is Cooking Fever – a time-management game where players can cook meals and desserts from all over the world. The game has almost 500 million downloads and 15 million monthly active users.