Senior Azure Data Engineer

Summary

Join Xebia, a global leader in digital solutions, and contribute to cutting-edge projects. As a Data Engineer, you will be responsible for designing, building, and deploying at-scale infrastructure, focusing on distributed systems and Big Data technologies. You will build and maintain architecture patterns, translate technical designs into code, and create reusable artifacts. Collaboration with data scientists and analysts is key, as is ensuring efficient, automated data processes. The role requires strong experience with Azure Data Factory, Databricks, and various data engineering tools. Immediate availability and fluency in English are essential.

Requirements

• Be ready to start immediately
• Be open to work every day between 7 a.m. and 3 p.m. CET
• Have 3+ years’ experience with Azure Data Factory and Databricks
• Have 5+ years’ experience with data engineering or backend/fullstack software development
• Have strong SQL skills
• Have Python scripting proficiency
• Have experience with data transformation tools - Databricks and Spark
• Have experience in structuring and modelling data in both relational and non-relational forms
• Have experience with CI/CD tooling
• Have working knowledge of Git
• Have good verbal and written communication skills in English
• Currently reside in Moldova and hold the legal right to work in Moldova

Responsibilities

• Be responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems
• Build and maintain architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies
• Evaluate and translate technical design to workable technical solutions/code and technical specifications at par with industry standards
• Drive creation of re-usable artifacts
• Establish scalable, efficient, automated processes for data analysis, data model development, validation, and implementation
• Work closely with analysts/data scientists to understand impact to the downstream data models
• Write efficient and well-organized software to ship products in an iterative, continual release environment
• Contribute and promote good software engineering practices across the team
• Communicate clearly and effectively to technical and non-technical audiences
• Define data retention policies
• Monitor performance and advise any necessary infrastructure changes

Preferred Qualifications

• Have experience with Azure Event Hubs, CosmosDB, Spark Streaming
• Have familiarity with data visualization tools (PowerBI, Tableau etc.)
• Have experience in Aviation Industry and Copilot