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Ernst & Young

Global professional services: consulting, assurance, tax

Data Engineer - Trieste

Data EngineeringUpdated on Nov 14
Full-timeTrieste, Province of Trieste, ItalyNo salary listed

About the Job

Requirements

  • At least 2 years of experience developing modern data platforms, including data modeling, integration, Data Warehouse/Lakehouse, and cloud technologies.
  • Ability to work independently on project activities and collaborate with multidisciplinary teams to deliver scalable, reliable, business-oriented solutions.
  • Experience in Analytics, Data Governance, and enterprise data platform environments.
  • A degree in Computer Science, Computer Engineering, Management Engineering, Mathematics, Physics, Data Science, or a related discipline.

Responsibilities

  • Design and develop data integration pipelines (ETL/ELT).
  • Build data acquisition processes from internal and external systems.
  • Implement data transformation, enrichment, and validation logic.
  • Design, implement, and maintain Data Lakes, Data Warehouses, and Lakehouse platforms.
  • Ensure the quality, consistency, traceability, and reliability of information assets.
  • Optimize the performance, scalability, and resilience of data solutions.
  • Implement monitoring, logging, and alerting systems for data platforms.
  • Collaborate with Data Analysts, Data Scientists, and business stakeholders to expose and use data.
  • Support Data Governance, Metadata Management, and Data Security initiatives.

Desired Qualifications

  • Strong knowledge of advanced SQL.
  • Experience developing ETL/ELT processes.
  • Knowledge of Data Modeling principles.
  • Experience with Data Warehouse, Data Lake, and Lakehouse architectures.
  • Familiarity with data process orchestration and monitoring tools.
  • Knowledge of major cloud data services, including Azure, AWS, or Google Cloud.
  • Knowledge of DevOps, CI/CD, and DataOps principles.
  • Knowledge of data security, governance, and quality.
  • Knowledge of Microsoft Fabric, Data Lakehouse, Data Governance, CI/CD, Git, and PySpark.
  • Ability to independently manage project streams of medium complexity.
  • Ability to interact directly with business and IT stakeholders.
  • Ability to support solution design and requirements gathering.
  • Ability to mentor junior staff.
  • Ability to contribute to demos, proofs of concept, and proposals.
  • Ability to support the development of the team’s Data & AI assets and methodologies.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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