Senior Data Engineer (MS Fabric Experience) at LGG Advisors
May no longer be active — verify on the employer site
At a glance
- Company
- LGG Advisors
- Location
- Portugal
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this LGG Advisors job
- 🏢 LGG Advisors has 4 jobs here, 4 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Salary: At least 1.5 times the national average annual salary (1.2 times in some cases) guide
- 💡 No salary shown. Ask LGG Advisors if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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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.
Key skills
- Microsoft Fabric — in 10 other listings on The Stack
- Data Engineering — in 118 other listings on The Stack
- Medallion Architecture — in 6 other listings on The Stack
- SQL — in 527 other listings on The Stack
- Python — in 1173 other listings on The Stack
- Apache Spark — in 13 other listings on The Stack
- Delta Lake — in 20 other listings on The Stack
- Data Factory — not in any other listing on The Stack
- Power BI
- ETL/ELT
- Data Modeling
- Data Governance
- Azure
- Cloud Data Architectures
- DataOps
- DevOps
On The Stack (as of 2026-11-03)
Frequently asked questions about LGG Advisors
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.