Job Description, Responsibilities & Requirements
About the Position
Senior AI Data Engineer
Location: Vilnius, Lithuania
Salary: From 3310 EUR/month (gross)
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.
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.
Requirements
- 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.
Nice 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.
We Offer
- Competitive salary
- Opportunity to work in a dynamic and innovative environment
- Continuous learning and development opportunities
- Health and wellness perks
- Socially responsible company culture
- Fun team activities and events
About the Company
At Nordcurrent, we create world-class games that are loved by millions. We are committed to continuous self-development, sharing knowledge, and maintaining a stress-free environment to support creativity and quality work. We take care of our health by offering various wellness perks and discounts on sports activities and medical check-ups. We are proud to be a part of a socially responsible company, as part of our company's income is donated to those in need. We offer free drinks and fresh fruits every day, weekly Friday breakfasts, monthly Friday evening get-togethers, and many more fun activities together. We also provide opportunities to relax by playing football, pool, table tennis, and enjoying video games on all sorts of consoles and platforms. We meet daily, weekly, and monthly to socialize, have fun, and celebrate being together.
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Contact Email: [email protected]