Microsoft Fabric Data Engineer
Accenture Budapest, Central Hungary, Hungary
Business Consulting and Services · 10,001+ employees
About the role
You will design and implement scalable data fabric architecture and develop robust ETL/ELT pipelines for batch and real-time data integration. Additionally, you will establish data governance, quality frameworks, and performance optimization strategies across cloud-based platforms.
What they look for
Requirements
Candidates must have 5+ years of experience in data engineering with strong proficiency in SQL, Python, and modern data warehousing architectures like Delta Lake. Excellent analytical skills and the ability to communicate complex technical concepts to non-technical stakeholders are essential.
Benefits
Full description
Who we are
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™.
About the Role
We are seeking to our team in Budapest a Microsoft Fabric Data Engineer
Senior Data Engineer – 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.
What You’ll Own — Key Responsibilities & Impact
- 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.
Who You Are — Required & Preferred Qualifications
- 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.
What we offer for you
- Participation in full-cycle and diverse international projects
- Opportunity to work as a specialist or manager/team lead
- Constant career development with internal mentorship
- Access to a whole set of learning platforms, paid certifications
- Flexible working conditions, home working is allowed
- Attractive base salary & Wide range of benefits included cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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