Microsoft Fabric Data Engineer

Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries.

Accenture globally has ranked 4th on the Great Place to Work® World’s Best Workplaces™.

We are seeking to our team in Budapest a Microsoft Fabric Data Engineer

We are building a modern, scalable cloud data platform to power analytics, reporting, and advanced data-driven decision-making across our organization. As a Senior Data Engineer, you will play a pivotal role in designing and operating this platform — leading architecture, implementing best practices, ensuring data quality and governance, and driving continuous improvement. Your work will directly impact how the organization leverages data to deliver value.

• Design and implement data fabric architecture across heterogeneous data sources and platforms.

• Develop scalable ETL/ELT pipelines for batch and real-time data integration.

• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems.

• Implement metadata management, data cataloging, lineage, and data discovery capabilities.

• Build data-access and integration services using APIs, event streaming, and distributed processing.

• Establish data quality, validation, observability, and monitoring frameworks.

• Implement data governance, security, access controls, and compliance requirements.

• Work with cloud technologies such as AWS, Azure, or Google Cloud.

• Optimize data pipelines and processing workloads for performance, scalability, and cost.

• 5+ years of experience as a data engineer (or similar), with significant exposure to cloud-based data platforms and modern data architectures.

• Strong understanding and practical experience with data modeling, data warehousing / lakehouse architecture (e.g. dimensional modeling, star/snowflake schemas, Delta Lake / Lakehouse).

• Proven track record in data governance, metadata management, and ensuring data quality at scale.

• Solid experience in performance optimization and troubleshooting of data processing jobs / pipelines (Spark/Databricks).

• Excellent programming and query skills — strong SQL, Python (or another relevant language); ability to write clean, efficient, maintainable code.

• Strong analytical and problem-solving skills; ability to think at both micro (pipeline/job level) and macro (architecture/strategy) levels.

• Excellent communication skills: able to explain complex technical issues to non-technical stakeholders, collaborate across teams, and influence architectural decisions.

• Self-motivated, responsible, and capable of working independently and as a technical leader in a structured data platform environment.

Visit us at www.accenture.com 

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