Senior AI Data Engineer

Senior AI Data Engineer Location: Vilnius From 3310 EUR/month (gross) Development Full-time 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) Share this job: Contact Email: jobs@nordcurrent.com Why Nordcurrent? We create world-class games that are loved by millions; We love to learn new things and strive for continuous self-development; We are eager to share our knowledge through Level Up Talks and take advantage of our book libraries​; We are committed to maintaining our environment stress-free to support creativity and quality work; We take care of our health by maintaining work-life balance and enjoying various discounts on sports activities, medical check-ups, and other wellness perks; We take advantage of additional health insurance or wellness platform (after a year with us); We are proud to be a part of the socially responsible company as a part of our company's income is donated to those in need; We treat ourselves to free drinks and fresh fruits every day, weekly Friday breakfasts, monthly Friday evening get-togethers, and many more fun activities together; We take time to relax by playing, whether it's football, pool or table tennis, and - for sure - we enjoy video games on all sorts of consoles and platforms; We meet daily, weekly, and monthly to socialize, have fun and celebrate being together. Apply for this job