Remote

We are looking for a Senior Data Engineer for a product team that develops corporate data platforms and data products for the Trading & Supply division.

Main Tasks ▫️Design, development, and support of scalable data pipelines and data products. ▫️Development of backend services and REST API using FastAPI. ▫️Work with Databricks, Python, PySpark, SQL Server, and cloud technologies. ▫️Interaction with business customers, Product Owner, architects, and development teams. ▫️Participation in the entire SDLC: design, development, testing, deployment, monitoring, and support. ▫️Configuration and support of CI/CD processes, automated testing, and code quality control. ▫️Development and support of containerized applications (Docker, Kubernetes). ▫️Implementation of best engineering practices: code review, testing, security, monitoring, and observability. ▫️Monitoring, performance optimization, incident resolution, and ensuring service reliability.

Mandatory Skills ▫️Python, PySpark, Databricks, SQL Server ▫️FastAPI, REST API ▫️Azure, Docker, Kubernetes, GitOps, CI/CD

Will be important ▫️Experience in building modern data platforms and data products. ▫️Understanding of data architecture, data modeling, and data governance principles. ▫️Experience with cloud solutions and cloud-native architecture. ▫️Experience in configuring CI/CD and DevOps practices (GitHub Actions or similar tools). ▫️Strong analytical skills and experience in solving complex technical problems. ▫️Experience working in Agile/Product teams.