Senior Analytics Engineer

Summary

Join GetInData | Part of Xebia, a leading data company, as an Analytics Engineer. You will oversee the entire data value chain, from data sources to actionable insights. Responsibilities include gathering business requirements, designing data models, developing data pipelines, creating visualizations, and communicating data-driven insights to stakeholders. This role requires 3+ years of BI tool experience (Power BI preferred), proficiency in SQL and at least one programming language (Python preferred), and expertise in Microsoft Azure and Databricks. The position offers 100% remote work, flexible hours, opportunities for professional development, and competitive compensation.

Requirements

• 3+ years of experience using BI tools like Power BI
• Proficiency in at least one programming language, with a preference for Python
• Strong expertise in SQL
• Extensive experience in Microsoft Azure and knowledge of Lakehouse platforms - Databricks
• Hands-on experience with dbt
• Ability to map business requirements to data products (reports, analysis)
• Ability to work with different datasets and data sources
• Being familiar with data visualization best practices and the ability to tell stories with data

Responsibilities

• Collecting business requirements for data solutions (reports, analysis)
• Advising on metrics for business performance monitoring
• Monitoring, building data pipelines, and implementing data transformations (mostly in SQL)
• Designing and implementing data model in a BI tool
• Building reports and dashboards
• Data validation and testing
• Communicating results to the business and helping to use them to make decisions
• Data literacy knowledge sharing
• Staying up to date with the latest trends and best practices in analytics engineering

Preferred Qualifications

Proficiency in at least one programming language, with a preference for Python

Benefits

• Salary: 130 - 180 PLN net + VAT/h B2B (depending on knowledge and experience)
• 100% remote work
• Flexible working hours
• Possibility to work from the office located in the heart of Warsaw
• Opportunity to learn and develop with the best Big Data experts
• International projects
• Possibility of conducting workshops and training
• Co-financing sport card
• Co-financing health care
• All equipment needed for work