招聘
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
-
Integrate and process data from Service Now 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)
-
Collaborate with IT and business teams to define reporting requirements and KPIs
-
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.
Required Skills & Experience
-
Experience working with Service Now 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
Nice to have
-
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.
总浏览量
1
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Member of Technical Staff, Data Platform Engineer
Fireworks AI · San Mateo, CA

Staff Engineer, Data Engineering Solutions
Stripe · Bengaluru

Staff+ Software Engineer, Data Infrastructure
Anthropic · San Francisco, CA

Staff Software Engineer, Pixel Data Engineering
Google ·

Distinguished Data Engineer
Capital One · McLean; Cambridge; San Jose; New York
关于EY

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+
员工数
London
总部位置
评价
3.4
10条评价
工作生活平衡
2.3
薪酬
3.7
企业文化
4.1
职业发展
3.8
管理层
3.2
65%
推荐给朋友
优点
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
缺点
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
薪资范围
31,254个数据点
Mid/L4
Mid/L4 · Operations Research Analyst
1,738份报告
$142,571
年薪总额
基本工资
$136,899
股票
-
奖金
$5,673
$100,128
$203,912
面试经验
7次面试
难度
3.0
/ 5
时长
14-28周
录用率
57%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
常见问题
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
新闻动态
Five questions banks must ask to unlock tech value - EY
EY
News
·
2d ago
Five hallmarks of effective AI strategies in banking - EY
EY
News
·
2d ago
How a healthcare company tackles third-party risk with tech and data - EY
EY
News
·
2d ago
Alum sues GW, former employer alleging discrimination, defamation after graduation speech - The GW Hatchet
The GW Hatchet
News
·
3d ago