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BeBee
Radar

Senior Python Developer

Technology
Luxoft
Bucureşti, Româniaacum 1 lunăPână la 08.11.2026
Normă întreagă

Descrierea postului

  • Project Description(VR-124755)

  • We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

  • Your initial project will be a core AI &

    • Data platform, designed to provide a best in class environment for building, running and scaling AI solutions. The platform provides tools, services, frameworks and data so teams can focus on solving business problems, not rebuilding infrastructure.

  • • Data Scientists building analytics, ML and GenAI solutions

  • • Engineers and Developers integrating AI into applications and workflows

  • • Business users consuming AI-enabled insights and services

  • As a Senior Engineer, you will be responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration.

  • Responsibilities:

  • • Data Pipeline Development &

    • Optimization: Design, develop, and optimize complex data pipelines using Python and PySpark/Apache Spark for large-scale data processing, transformation, and ingestion.

  • • Workflow Orchestration: Implement and manage data workflows and dependencies using Apache Airflow to ensure efficient and reliable data delivery.

  • • Containerization &

    • Orchestration: Deploy and manage data engineering workloads and applications within containerized environments using Kubernetes, ensuring scalability, resilience, and efficient resource utilization.

  • • CI/CD Implementation: Design and implement robust CI/CD pipelines for automated testing, deployment, and monitoring of data engineering solutions, promoting a culture of continuous delivery and quality.

  • • Data Lake &

    • Storage Management: Work with modern data lake technologies, including Apache Iceberg, for efficient data storage, versioning, and schema evolution.

  • • Object Storage Integration: Utilize object storage solutions for managing and accessing large volumes of unstructured and semi-structured data.

  • • Problem Solving: Proactively identify, diagnose, and resolve complex data-related issues, performance bottlenecks, and data quality challenges.

  • • Collaboration &

    • Mentorship: Collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and product managers. Potentially mentor junior data engineers, sharing knowledge and best practices.

  • • Technical Leadership: Contribute to technical design discussions, propose innovative solutions, and drive the adoption of best practices within the data engineering team.

  • • Documentation: Create and maintain comprehensive technical documentation for data pipelines, architectures, and processes.

  • Mandatory Skills Description:

  • • Strong Python knowledge

  • • Familiarity with Apache Airflow, Apache Spark, Kubernetes

  • • Understanding of AI concepts like LLM, Embeddings, Vectors, RAG, MCP, Agents

  • • Java knowledge is a plus

  • • Good communication and interpersonal skills

  • Nice-to-Have Skills Description:

  • • Java knowledge is a plus

  • Languages:

  • English: B2 Upper Intermediate

Keywords
OrchestrationOCamlSCHEMAApache SparkScalabilityApache AirflowAirflowPythonApache LicenseApache Http ServerJavaCI / CDBig dataKubernetesSoftware EngineeringCI/CD

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