About the Position

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.

Salary

From 3310 EUR/month (gross)

About the Company

At 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.

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Senior AI Data Engineer

Job description