The vacancy is well-defined but lacks compensation details, affecting overall attractiveness to applicants.
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Job description
Alfa-Bank is looking for a Lead Data Engineer to design and develop scalable data infrastructure and support data pipelines.
Responsibilities
### Responsibilities
- Design and develop scalable data infrastructure (batch and streaming pipelines);
- Work with ClickHouse (MergeTree), S3 Data Lake, Kafka, Airflow (ETL/ELT);
- Architect and implement data marts for analytics, ML, and AI agents;
- Support and write ETL/ELT pipelines (dbt / Airflow / Spark / Kafka / etc.);
- Optimize performance, storage costs, and data consumption;
- Implement and support CI/CD standards and monitoring of pipelines;
- Collaborate with analysts, ML engineers, developers, and product teams;
- Participate in building feature store, ML infrastructure, and support GenAI systems.
Requirements
### Requirements
- 3+ years of experience working with data as a Data Engineer;
- Experience designing data platforms in production (from ingestion to marts);
- Excellent knowledge of SQL, Python (or Scala), experience with Apache Airflow, Spark, Kafka;
- Experience building CI/CD processes and monitoring data pipelines;
- Understanding of data governance, data quality, and data contracts.
About Alfa-Bank
Alfa-Bank is one of Russia's largest private banks, providing a wide range of financial services including retail and corporate banking, digital solutions, and data processing initiatives. It actively hires for IT roles such as Python developers to build data integration systems, RESTful APIs, and recommendation engines within its banking ecosystem.