Senior Data Engineer

Description

Role: Senior Data Engineer Location: Wrocław - hybrid About the Team We are building an innovative team responsible for analyzing ITIL process data and supporting business decision-making across Client Technology and beyond. Our mission is to transform data from ServiceNow and other IT sources into intelligent reports, predictions, and insights. The team will work with Microsoft Fabric, Power BI, and AI/ML tools to create modern analytical and predictive solutions.

Requirements

• Experience with Python/R for data analysis and ML

• Knowledge of ITIL processes (incident, problem, change, service request)

• Experience automating data pipelines and workflows

• Familiarity with Azure AI/ML tools (ML Studio, Synapse ML, Fabric AI)

What we offer

• The opportunity to build dashboards that get used

• Chance to build advanced predictive and AI/ML models impacting the entire organization

• Access to cutting-edge Microsoft Fabric and Power BI tools

• Influence on IT processes and business decision-making at a global level

• Work in Agile/DevOps methodologies with a focus on automation and quality.

Requirements

• Experience working with ServiceNow or other ITSM systems

• Knowledge of MS Fabric (lakehouse, pipelines)

• Strong Power BI skills – data modeling, DAX, interactive dashboard creation

• Experience with Edit Tabulator, DAX Studio, XMLA, and APIs

• Basic knowledge of ML/AI – data preparation, predictive model development

• Proficiency in SQL and handling large datasets

• Experience working in Scrum, DevOps, TDML/TDD/BDD methodologies

• Ability to document data processes and maintain clear documentation

• Strong communication skills and ability to work in an interdisciplinary team

• Required certifications:

• Microsoft Fabric: DP-600, DP-700

• Power BI: PL-300

Zakres obowiązków

• Integrate and process data from ServiceNow and other IT sources into Azure / MS Fabric environment

• Design and maintain comprehensive dashboards in Power BI for IT and business stakeholders

• Develop predictive models and AI/ML analytics to optimize ITIL processes (e.g., incidents, problems, changes)

Requirements

• Ensure data quality, documentation, and compliance with data governance policies

• Monitor ETL/ELT processes and automate data pipelines in MS Fabric

• Explore new data sources and analytical technologies supporting IT and business processes

• Work following Scrum, DevOps, and TDML/TDD/BDD methodologies, including test automation and deployment pipelines.