Middle/Middle+ Data Engineer / MLE (Big Data + GenAI)

Position: Middle/Middle+ Data Engineer / MLE (Big Data + GenAI) To: Sber, Autonomous Campaigning Team Work Format: office + hybrid — Moscow, modern office Gross Salary Range: ~200-350k RUB + annual bonus 15+%

What needs to be done? • Design the architecture of storage systems (GreenPlum, Hadoop) and analytical data marts • Build ETL/ELT pipelines on Spark and Kafka for streaming and batch processing • Deploy multi-agent systems, monitor data quality and fault tolerance • Automate quality control and participate in CI/CD

Requirements: • DE/MLE experience from 2 years • SQL (complex queries, optimization), Python/Scala + pySpark • Knowledge of Hadoop, Spark, Hive, Kafka, understanding of DevOps • Responsible attitude towards data quality • Will be a plus: MLOps, Kubernetes, Docker, real-time processing experience What we offer: • A unique product at the intersection of GenAI and marketing without legacy and bureaucracy • Modern office with a fitness center, voluntary medical insurance, white salary + annual bonus 15+% • Access to Sber's vast data and computing resources • Professional training funded by the company, a strong team of professionals

Answers to 10 important questions:

1. Data: Hadoop (entire Sber data volume), GreenPlum, external APIs
2. Hardware: Spark/Hadoop clusters, Kubernetes up to 64 cores / 512 GB RAM
3. Scale of impact on core business: direct – the platform manages marketing campaigns and affects P&L
4. Level of data engineering development in the company: all business lines are covered by ML, data is the foundation for AI solutions
5. Role of a data engineer in the product: DE/MLE builds the data foundation, ensures pipeline reliability and data quality for models and analytics
6. Background of your manager: LinkedIn
7. How often will you be interrupted at work: daily stand-ups + 1-2 meetings with the business per week
8. Career growth: formalized competency matrix, regular reviews and grade defenses
9. Prod/Research: 50/50
10. Function of service or leader: service – support and development of data infrastructure 📧** Send CV:** recruiter contact, subject «Data Engineer in Autonomous Campaigning», or TG recruiter contact