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Senior Data Engineer

EY

Senior Data Engineer

EY

·

On-site

·

Full-time

·

1w ago

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.

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About EY

EY

EY

Public

EY, 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+

Employees

London

Headquarters

Reviews

3.4

10 reviews

Work-life balance

2.3

Compensation

3.7

Culture

4.1

Career

3.8

Management

3.2

65%

Recommend to a friend

Pros

Good learning opportunities and career advancement

Supportive culture and kind people

Professional environment and good benefits

Cons

Long working hours and poor work-life balance

Hectic and taxing work environment

Limited support for interns and technical growth

Salary Ranges

31,254 data points

Mid/L4

Mid/L4 · Operations Research Analyst

1,738 reports

$142,571

total per year

Base

$136,899

Stock

-

Bonus

$5,673

$100,128

$203,912

Interview experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

57%

Interview process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

Common questions

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit