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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 Service Now 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.
Key Responsibilities
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Integrate and process data from Service Now and other IT sources into Azure / MS Fabric environment
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Design and maintain comprehensive dashboards in Power BI for IT and business stakeholders
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Develop predictive models and AI/ML analytics to optimize ITIL processes (e.g., incidents, problems, changes)
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Collaborate with IT and business teams to define reporting requirements and KPIs
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Ensure data quality, documentation, and compliance with data governance policies
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Monitor ETL/ELT processes and automate data pipelines in MS Fabric
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Explore new data sources and analytical technologies supporting IT and business processes
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Work following Scrum, DevOps, and TDML/TDD/BDD methodologies, including test automation and deployment pipelines.
Required Skills & Experience
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Experience working with Service Now or other ITSM systems
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Knowledge of MS Fabric (lakehouse, pipelines)
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Strong Power BI skills – data modeling, DAX, interactive dashboard creation
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Experience with Edit Tabulator, DAX Studio, XMLA, and APIs
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Basic knowledge of ML/AI – data preparation, predictive model development
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Proficiency in SQL and handling large datasets
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Experience working in Scrum, DevOps, TDML/TDD/BDD methodologies
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Ability to document data processes and maintain clear documentation
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Strong communication skills and ability to work in an interdisciplinary team
Required certifications:
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Microsoft Fabric: DP-600, DP-700
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Power BI: PL-300
Nice to have
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Experience with Python/R for data analysis and ML
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Knowledge of ITIL processes (incident, problem, change, service request)
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Experience automating data pipelines and workflows
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Familiarity with Azure AI/ML tools (ML Studio, Synapse ML, Fabric AI)
What We Offer
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The opportunity to build dashboards that get used
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Chance to build advanced predictive and AI/ML models impacting the entire organization
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Access to cutting-edge Microsoft Fabric and Power BI tools
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Influence on IT processes and business decision-making at a global level
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Work in Agile/DevOps methodologies with a focus on automation and quality.
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1
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0
模擬応募者数
0
スクラップ
0
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EYについて

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
従業員数
London
本社所在地
レビュー
3.4
10件のレビュー
ワークライフバランス
2.3
報酬
3.7
企業文化
4.1
キャリア
3.8
経営陣
3.2
65%
友人に勧める
良い点
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
改善点
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
給与レンジ
31,254件のデータ
Mid/L4
Mid/L4 · Operations Research Analyst
1,738件のレポート
$142,571
年収総額
基本給
$136,899
ストック
-
ボーナス
$5,673
$100,128
$203,912
面接体験
7件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
57%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
よくある質問
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
ニュース&話題
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2d ago
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2d ago
How a healthcare company tackles third-party risk with tech and data - EY
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3d ago
Alum sues GW, former employer alleging discrimination, defamation after graduation speech - The GW Hatchet
The GW Hatchet
News
·
3d ago