Xebia
Technology
AzureDataEnginer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Azure Data Enginer at Xebia. Skills: Data Engineering, Azure Data Platform, Data Pipelines. Develop data ingestion pipelines. Maintain data ingestion pipelines”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Hands-on Azure data platforms, Solid understanding data pipeline, Practical ETL/ELT experience, Experience with Databricks, Experience monitoring data workflows, Work independently, Very good English skills, Experience supporting production data platforms, Ability to ramp up quickly, Practical AI assistants experience, Work from EU region, Work permit required
Nice to Have
Previous banking experience, Previous financial services experience, Exposure regulated environments, Exposure data governance practices, Experience working distributed teams, Experience working nearshore teams, Experience supporting knowledge transfer, Experience applying GenAI structured, Interest emerging AI practices, Familiarity agent-based workflows, Familiarity automation patterns, Familiarity AI-augmented development
What You'll Do.
Develop data ingestion pipelines
Maintain data ingestion pipelines
Onboard new data sources
Contribute Azure data platform development
Contribute Azure data platform improvement
Support data workflow orchestration
Enhance data workflow orchestration
Participate client data team
Assist knowledge transfer
Identify reliability opportunities
Identify performance opportunities
Identify maintainability opportunities
How You'll Work.
Team & Collaboration
Embedded client team; Client data team
Communication Scope
English communication
Full Job Description
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: developing and maintaining data ingestion pipelines from source systems to the raw data layer, onboarding new data sources into the data platform, contributing to the ongoing development and improvement of the Azure-based data platform, supporting and enhancing monitoring and orchestration of data workflows, participating in daily activities as a fully embedded member of the client’s internal data team, assisting with knowledge transfer from outgoing engineers to ensure a smooth transition, proactively identifying opportunities to improve reliability, performance, and maintainability of data pipelines. Your profile: strong hands-on experience with Azure data platforms, including data ingestion, storage, and processing. solid understanding of data pipeline design, development, and maintenance, practical experience with ETL / ELT processes and data integration patterns, experience with Databricks, experience working with monitoring and orchestration of data workflows, ability to work independently wit
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