Senior Data Specialist

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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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:

• build and maintain data pipelines covering Event Hub ingestion and Databricks transformations,

• develop and maintain silver and gold data layers and ready-to-use data products,

• analyze, model, and prepare media usage tracking data for further consumption,

• support media analysts in understanding available data and using it effectively,

• create and maintain dashboards and visualizations using Databricks Dashboards and Power BI,

• design and evolve serving-layer data architecture and data models,

• gather and analyze business requirements and translate them into technical specifications and development tickets for data engineering teams,

• collaborate closely with analysts and data engineers to ensure data products meet business needs,

• contribute to CI/CD processes and software development best practices,

• use GitHub, GitHub Actions, and AI-assisted development tools as part of daily work.

Your profile:

• experience in data engineering, including data ingestion, transformation, and preparation of consumable data products,

• hands-on experience with Event Hub and Databricks,

• experience building and maintaining silver and gold data layers,

• strong data analysis skills,

• experience supporting business users or analysts with data interpretation and usage,

• experience creating dashboards and visualizations using Databricks Dashboards and/or Power BI,

• experience in data modeling and serving-layer architecture design,

• experience in requirements engineering, including translating business needs into technical requirements and development tickets,

• experience with GitHub and CI/CD practices,

• familiarity with GitHub Actions,

• strong communication and stakeholder collaboration skills,

• professional English language skills,

• Work from the European Union region and a work permit are required.

Nice to have:

• experience working with media, broadcasting, audience measurement, or media usage tracking data,

• experience with AI-assisted development tools such as Claude,

• experience working in cross-functional data teams.

 

 

 

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision