# Senior Data Engineer (MS Fabric Experience) at LGG Advisors

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> Responsibilities: - Lead design, migration, and implementati

- **Company:** LGG Advisors (https://jobs.trythestack.co/companies/lgg-advisors)
- **Location:** Portugal
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Microsoft Fabric, Data Engineering, Medallion Architecture, SQL, Python, Apache Spark, Delta Lake, Data Factory, Power BI, ETL/ELT, Data Modeling, Data Governance, Azure, Cloud Data Architectures, DataOps, DevOps
- **Posted by employer:** 2026-08-25
- **Added to The Stack:** 2026-08-26
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://lggadvisors.zohorecruit.com/jobs/Careers/552115000006488001/Senior-Data-Engineer-MS-Fabric-Experience (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-ms-fabric-experience-lgg-advisors

## About the role

Responsibilities:
- Lead design, migration, and implementation of enterprise data platforms using Microsoft Fabric and comparable cloud-native technologies.
- Architect and implement Medallion Architecture (Bronze/Silver/Gold) to support governed, scalable analytics and AI use cases.
- Build and maintain end-to-end data pipelines: ingestion, transformation (Spark/Delta Lake), orchestration, storage, quality checks, and monitoring.
- Develop solutions across Fabric components (OneLake, Lakehouse, Data Warehouse, Data Factory, Notebooks, Semantic Models) and enable Power BI reporting.
- Ensure data governance, security, lineage, and observability are embedded in pipelines and platform designs.
- Collaborate with consultants, product owners, and client stakeholders in agile engagements; produce technical documentation and architecture decisions.
- Mentor team members and promote DataOps, testing, and repeatable deployment practices.

Requirements:
- Bachelor’s degree in Computer Science, Engineering, Math, or similar and professional proficiency in English.
- 5+ years in data engineering, platform development, or data architecture; minimum 2 years hands-on Microsoft Fabric experience across the data lifecycle.
- Proven delivery of Medallion Architecture and production Lakehouse/Warehouse solutions.
- Strong SQL and Python skills; experience with Apache Spark and Delta Lake for scalable transformations.
- Experience building ETL/ELT pipelines, semantic models, and Power BI integration for analytics and reporting.
- Familiarity with data governance, monitoring, data quality, and security practices in cloud environments (Azure preferred).
- Strong communication skills, client-facing experience, and the ability to document and defend architectural choices.

## Responsibilities

Design, develop, and maintain enterprise-grade data platforms using Microsoft Fabric and modern cloud-native technologies. Collaborate with cross-functional teams to implement scalable data pipelines, governance frameworks, and analytics solutions for financial sector clients.

## Requirements

Requires a bachelor's degree in a relevant field and 5+ years of experience in data engineering or architecture. Candidates must have at least 2 years of hands-on experience with Microsoft Fabric and proficiency in SQL, Python, and Medallion Architecture.

## FAQ

- **Is this Senior Data Engineer (MS Fabric Experience) role still open?** It was posted on 2026-08-25. Listings more than 30 days old may no longer be active, so check LGG Advisors's site before applying.
- **Does LGG Advisors offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on LGG Advisors's site.
- **Where is this role located?** The listing gives the location as Portugal. It is marked on-site.
- **What skills does this role ask for?** The listing names: Microsoft Fabric, Data Engineering, Medallion Architecture, SQL, Python, Apache Spark, Delta Lake, Data Factory, Power BI, ETL/ELT, Data Modeling, Data Governance, Azure, Cloud Data Architectures, DataOps, DevOps.

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