Senior Analytics Engineer (Databricks)

TL;DR

Senior Analytics Engineer (Databricks): Building and refining the analytical layer on top of data platforms with an accent on CRM data modeling and dataset curation. Focus on collaborating with data engineering and architecture teams to ensure high data quality, consistency, and usability for business reporting.

Location: Must be based in the European Union region and possess a valid work permit.

Company

A global AI-first digital transformation and engineering partner with over 25 years of experience, delivering data-driven solutions for major international clients.

What you will do

• Build and refine the analytical layer supporting CRM-sourced data.
• Prepare data models and curated datasets for analytics and reporting.
• Collaborate with Data Engineering and Architecture stakeholders on data readiness.
• Translate source system data into business-friendly analytical structures.
• Ensure quality, consistency, and usability of analytics-ready datasets.

Requirements

• Must be based in the European Union region with a valid work permit.
• Proven experience in an Analytics Engineer, Analytics Developer, or technical BI/data modeling role.
• Strong SQL skills and experience with modern cloud data platforms, preferably Databricks.
• Experience modeling analytical datasets for reporting and business consumption.
• Experience with Azure-based data environments and CRM-sourced data.
• Understanding of upstream ingestion and transformation processes.

Nice to have

• Experience with BI tools and reporting environments.
• Basic Python knowledge for data tasks.
• Familiarity with orchestration or workflow-driven data environments.
• Experience in enterprise or regulated environments.
• Exposure to energy or utilities business domains.

Culture & Benefits

• Focus on engineering excellence and a people-first culture.
• Continuous growth and knowledge-sharing environment.
• Opportunity to work with leading technologies like AWS, Azure, GCP, and Snowflake.
• Exposure to high-profile international clients.

Hiring process

• CV review
• HR call
• Technical interview
• Client interview
• Decision