Accenture
Posted 2w ago

Microsoft Fabric Data Engineer

Accenture
Budapest, Budapest, Hungary
HybridFull Time
Responsibilities
  • designing architectures
  • developing pipelines
  • ensuring governance
Requirements
  • Requires 5+ years of data engineering experience
  • Cloud data platform expertise
  • Data modeling
  • Governance
  • Quality management
  • Performance optimization, SQL
  • Python
  • Analytical ability, and strong communication skills
Technical tools mentioned
Microsoft FabricMicrosoft AzureAWSGoogle CloudSparkDatabricksSQLPythonDelta LakeAPIs

Job description

Job 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

Qualification

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

Additional Information

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.

About Accenture

Global professional services delivering 360° value.

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