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Data & Analytics Engineer
JOB SUMMARY
Job details
THE PLACEITRex - AI pioneers who build systems that actually work in the real world, not just in demos.
We're 250+ people spread across the US and Europe, creating solutions for companies like P G and Shutterstock.
We keep it simple, build it right, and focus on what works. THE PEOPLEWe're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways.
We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there. THE ROLEWe are looking for a Data Analytics Engineer to provide hands-on analytics engineering expertise in designing, building, and migrating analytical processing pipelines and data models—including data marts, multi-dimensional models, and KPI implementations—from SAP BusinessObjects to Sigma.
The role focuses on delivering high usability, strong performance, and robust data governance within a modern Snowflake-based cloud data stack, enabling scalable self-service analytics for business users. Responsibilities: Design, build, and optimize high-performance Data Marts (Gold layer) within Snowflake to deliver and support analytics-ready datasets Develop and maintain analytics-ready data models using Airflow, Python, Snowflake, SQL, and dbtDevelop and maintain Snowflake Semantic Views for self-service analytics in Sigma in collaboration with business stakeholdersPartner with business stakeholders to define, redesign, and implement standardized KPIsSupport the migration from SAP BusinessObjects to SigmaEnsure alignment with data governance, performance, security, and scalability standardsWork closely with BI, data engineering, and business stakeholders to translate business
requirements
into robust analytical modelsContribute to business user enablement through best practices, data structures, and documentationSupport multiple project phases in parallel with a pragmatic, delivery-focused mindset
Requirements
Technical Skills4+ years of hands-on experience as a Data Engineer and/or BI Engineer in modern cloud data environmentsAdvanced SQL skills Deep understanding of the Snowflake Cloud Data PlatformExperience working with Airflow or similar orchestration toolsPractical experience with dbt for data mart development and analytics modelingSolid understanding of data modeling concepts, including dimensional models and KPI frameworksBusiness CollaborationProven experience working with cross-functional teams (BI, data engineering, and business stakeholders) to deliver analytics solutions end-to-endAbility to translate business
requirements
and KPIs into scalable data models and semantic layersStrong communication skills, enabling effective collaboration during
requirements
clarification, model design, and KPI validationStrong sense of ownership and a proactive approach to identifying and solving data quality, modeling, or performance issuesSelf-driven and proactive, with the ability to co-lead analytics and modeling topics together with internal BI teamsEnglish proficiency: Upper-Intermediate and aboveNice to have:Experience migrating from SAP BusinessObjects or similar legacy BI platformsHands-on experience with modern BI tools
Benefits
Why people stayFirst, the foundation:Remote flexibility: Work where and how you work best - we trust you to deliverFair compensation: Competitive salary +
benefits
that matter (medical, learning)Then, the growth:Ownership opportunities: See a problem worth solving. Own it.
We back smart risks over bureaucratic safetyAI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing themLearning investment: English classes, professional developmentCareer progression: Real paths up, not just sideways shufflingFinally, the people:Reliable teammates: No radio silence, no "not my problem" attitudesSupportive culture: When you're stuck, people help.
When things break, we fix them togetherHuman connections: Regular meetups, tech talks, and actual relationships beyond workCurious.
We are too. Let's talk.
We're 250+ people spread across the US and Europe, creating solutions for companies like P G and Shutterstock.
We keep it simple, build it right, and focus on what works. THE PEOPLEWe're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways.
We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there. THE ROLEWe are looking for a Data Analytics Engineer to provide hands-on analytics engineering expertise in designing, building, and migrating analytical processing pipelines and data models—including data marts, multi-dimensional models, and KPI implementations—from SAP BusinessObjects to Sigma.
The role focuses on delivering high usability, strong performance, and robust data governance within a modern Snowflake-based cloud data stack, enabling scalable self-service analytics for business users. Responsibilities: Design, build, and optimize high-performance Data Marts (Gold layer) within Snowflake to deliver and support analytics-ready datasets Develop and maintain analytics-ready data models using Airflow, Python, Snowflake, SQL, and dbtDevelop and maintain Snowflake Semantic Views for self-service analytics in Sigma in collaboration with business stakeholdersPartner with business stakeholders to define, redesign, and implement standardized KPIsSupport the migration from SAP BusinessObjects to SigmaEnsure alignment with data governance, performance, security, and scalability standardsWork closely with BI, data engineering, and business stakeholders to translate business
requirements
into robust analytical modelsContribute to business user enablement through best practices, data structures, and documentationSupport multiple project phases in parallel with a pragmatic, delivery-focused mindset
Requirements
Technical Skills4+ years of hands-on experience as a Data Engineer and/or BI Engineer in modern cloud data environmentsAdvanced SQL skills Deep understanding of the Snowflake Cloud Data PlatformExperience working with Airflow or similar orchestration toolsPractical experience with dbt for data mart development and analytics modelingSolid understanding of data modeling concepts, including dimensional models and KPI frameworksBusiness CollaborationProven experience working with cross-functional teams (BI, data engineering, and business stakeholders) to deliver analytics solutions end-to-endAbility to translate business
requirements
and KPIs into scalable data models and semantic layersStrong communication skills, enabling effective collaboration during
requirements
clarification, model design, and KPI validationStrong sense of ownership and a proactive approach to identifying and solving data quality, modeling, or performance issuesSelf-driven and proactive, with the ability to co-lead analytics and modeling topics together with internal BI teamsEnglish proficiency: Upper-Intermediate and aboveNice to have:Experience migrating from SAP BusinessObjects or similar legacy BI platformsHands-on experience with modern BI tools
Benefits
Why people stayFirst, the foundation:Remote flexibility: Work where and how you work best - we trust you to deliverFair compensation: Competitive salary +
benefits
that matter (medical, learning)Then, the growth:Ownership opportunities: See a problem worth solving. Own it.
We back smart risks over bureaucratic safetyAI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing themLearning investment: English classes, professional developmentCareer progression: Real paths up, not just sideways shufflingFinally, the people:Reliable teammates: No radio silence, no "not my problem" attitudesSupportive culture: When you're stuck, people help.
When things break, we fix them togetherHuman connections: Regular meetups, tech talks, and actual relationships beyond workCurious.
We are too. Let's talk.
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ITRex Group Poland
