AI & Analytics Engineer

Quick Facts

• Role: AI & Analytics Engineer (AI & Analytics)

• Team: Insights Analytics & Engineering (Agile/SAFe)

• Work model: Hybrid

• Location: Gdańsk

• Contract: Full-time maternity cover through EOY 2027

Description

Build AI and business intelligence solutions—including agentic and generative AI—that improve operational decision-making, service reliability, and transparency across technology and business operations. You will design dashboards, AI agents, and decision intelligence to convert complex data into actionable insights, and you’ll optimize and troubleshoot existing analytics and AI solutions for reliability and performance. You’ll partner with stakeholders to drive strategic analytics and AI technology initiatives.

Responsibilities

• Build AI and BI analytics solutions using Microsoft Fabric, Copilot Studio, Dataverse, Snowflake, and Power Platform

• Design and develop dashboards, AI agents, and decision intelligence solutions

• Analyze and model data to identify trends, opportunities, and recommendations to improve IT operational performance and transparency

• Collaborate with stakeholders to drive strategic technology initiatives and advance analytics and AI

• Enhance, optimize, and troubleshoot existing analytics, reporting, and AI solutions in an Agile (SAFe) environment

Requirements

• 3+ years of experience in a similar role

• Experience with Microsoft Power BI and/or Microsoft Fabric

• Proficiency in SQL (preferably T-SQL), including data modeling and DAX

• Experience with data platforms such as MS SQL Server, Snowflake, Dataverse, or similar

• Experience building or contributing to AI-enabled solutions using tools such as Copilot Studio or Snowflake Cortex

• Experience designing analytical products, dashboards, reports, and decision-support solutions

• Experience working in Agile environments, preferably Scrum or SAFe

• Excellent written and spoken English skills (minimum C1)

• Master’s degree in Science, Software Engineering, Mathematics, Statistics, or related field

Benefits

• Collaboration, ownership, and passion-based values

• Culture that fosters performance and growth with opportunities to develop

• Hybrid working model

• Diversity and inclusion initiatives