Microsoft Fabric Data Engineer
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Summary
Data engineer at Accenture's Budapest office who designs data fabric architecture, builds scalable ETL/ELT pipelines, and implements data governance and quality frameworks. Core stack includes Microsoft Fabric, Spark/Databricks, SQL, Python, Delta Lake/Lakehouse, and cloud platforms such as Azure, AWS, or Google Cloud.
- 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 including 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 using Spark/Databricks
- Excellent programming and query skills including strong SQL and Python or another relevant language
- Strong analytical and problem-solving skills with ability to think at both micro and macro levels
- Excellent communication skills for explaining complex technical issues to non-technical stakeholders and collaborating across teams
- Self-motivation, responsibility, and capability of working independently and as a technical leader in a structured data platform environment
- 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 and paid certifications
- Flexible working conditions including home working
- Attractive base salary
- Wide range of benefits including cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price