Xebia
Technology
SeniorAnalyticsEngineer(Databricks)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer (Databricks) at Xebia. Skills: Analytics engineering, Data modelling, Databricks. Build analytical layer. Refine analytical layer”
Industry & Context.
Work from EU region, Work permit required
What They're Looking For.
Must Have
Proven experience in Analytics Engineer role, SQL skills, Experience with modern cloud data platforms, Experience modelling analytical datasets, Ability to work with Data Engineers, Experience with Azure based data environments, Experience with CRM sourced data, Understanding of upstream ingestion, Familiarity with semantic modelling, Experience improving data usability
Nice to Have
Experience with BI tools, Basic Python knowledge, Familiarity with orchestration environments, Experience in enterprise environments, Exposure to energy business domains
What You'll Do.
Build analytical layer
Refine analytical layer
Prepare curated datasets
Translate source system data
Support data consistency
Support data usability
How You'll Work.
Team & Collaboration
Data Engineering stakeholders; Architecture stakeholders; Business stakeholders
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: building and refining the analytical layer on top of the data platform supporting CRM sourced data, preparing data models and curated datasets for analytics and reporting, working closely with Data Engineering and Architecture stakeholders on data readiness and usability, translating source system data into business friendly analytical structures, supporting quality, consistency, and usability of analytics ready datasets. Your profile: proven experience in an Analytics Engineer, Analytics Developer, or highly technical BI / data modelling role, strong SQL skills, experience working with modern cloud data platforms, preferably Databricks, experience modelling analytical datasets for reporting and business consumption, ability to work closely with Data Engineers and business stakeholders, experience with Azure based data environments, experience working with CRM sourced data or other business application data, understanding of upstream ingestion and transformation processes, familiarity with semantic
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