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

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