Senior Data Engineer (MS Fabric Experience)
Porto/Lisbon, Portugal
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
VISA sponsorship and relocation support for candidates based outside Portugal or Spain.
Read the full posting
What you’ll work on
Full postingDesign, develop and maintain enterprise-grade data platforms utilizing Microsoft Fabric and related technologies.
Design and implement Medallion Architecture (Bronze, Silver, and Gold) for support scalable and governed analytics solutions.
Develop solutions using Fabric Data Factory OneLake, Lakehouse, Data Warehouse, Notebooks, Semantic Models, and Power BI.
From the employer’s posting
Responsibilities Design, develop and maintain enterprise-grade data platforms utilizing Microsoft Fabric and related technologies. Design and implement Medallion Architecture (Bronze, Silver, and Gold) for support scalable and governed analytics solutions.
Design, develop and maintain enterprise-grade data platforms utilizing Microsoft Fabric and related technologies. Design and implement Medallion Architecture (Bronze, Silver, and Gold) for support scalable and governed analytics solutions. Build, optimize and maintain end-to-end data pipelines covering all stages of the data lifecycle: Data ingestion; Data transformation; Data orchestration; Data storage; Data quality and monitoring; Data modeling; Analytics and reporting enablement.
Build, optimize and maintain end-to-end data pipelines covering all stages of the data lifecycle: Data ingestion; Data transformation; Data orchestration; Data storage; Data quality and monitoring; Data modeling; Analytics and reporting enablement. Develop solutions using Fabric Data Factory OneLake, Lakehouse, Data Warehouse, Notebooks, Semantic Models, and Power BI. Design scalable ETL/ELT processes and data models supporting enterprise reporting, analytics, and AI use cases.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or a related field.
- 5+ years of experience in Data Engineering, Data Platform Development, or Data Architecture.
- Experience with Databricks, Snowflake, Azure Synapse Analytics, Azure Data Lake Storage, or Azure SQL.
- Experience with Lakehouse, Warehouse, Data Factory, and Power BI Semantic Models
- Experience supporting analytics, AI, or machine learning workloads.
- Strong SQL and Python skills.
Qualification wording
Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or a related field.
5+ years of experience in Data Engineering, Data Platform Development, or Data Architecture.
Experience with Databricks, Snowflake, Azure Synapse Analytics, Azure Data Lake Storage, or Azure SQL.
Experience with Lakehouse, Warehouse, Data Factory, and Power BI Semantic Models
Experience supporting analytics, AI, or machine learning workloads.
Strong SQL and Python skills.
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Delta
- Snowflake
- Spark
- Terraform
- Power BI
Source — Tool mentions in context
- Experience with Lakehouse, Warehouse, Data Factory, and Power BI Semantic Models - Strong SQL and Python skills. - Experience developing scalable ETL/ELT pipelines.
- Microsoft Fabric Analytics Engineer Associate (DP-700) certification. - Experience with Databricks, Snowflake, Azure Synapse Analytics, Azure Data Lake Storage, or Azure SQL. - Experience supporting analytics, AI, or machine learning workloads.
- Experience implementing data governance, security, and data quality frameworks. - Familiarity with Azure cloud services and enterprise architecture principles. - Experience working in agile delivery environments.
- Experience developing scalable ETL/ELT pipelines. - Experience with Apache Spark, Delta Lake, and modern cloud data architectures. - Strong understanding of data modeling and dimensional modeling concepts.
- Experience mentoring junior engineers or leading technical workstreams. - Knowledge of Infrastructure as Code tools such as Terraform, Bicep, or ARM Templates. What We Offer
- Build, optimize and maintain end-to-end data pipelines covering all stages of the data lifecycle: Data ingestion; Data transformation; Data orchestration; Data storage; Data quality and monitoring; Data modeling; Analytics and reporting enablement. - Develop solutions using Fabric Data Factory OneLake, Lakehouse, Data Warehouse, Notebooks, Semantic Models, and Power BI. - Design scalable ETL/ELT processes and data models supporting enterprise reporting, analytics, and AI use cases.
- Proven implementation of Medallion Architecture in production environments. - Experience with Lakehouse, Warehouse, Data Factory, and Power BI Semantic Models - Strong SQL and Python skills.
Benefits in the posting
Full benefits wording- VISA sponsorship and relocation support for candidates based outside Portugal or Spain.
- At LGG Advisors, we are committed to building a diverse and inclusive workplace. All qualified applicants will be considered for employment regardless of race, gender identity, sexual orientation, religion, nationality, age, or disability.
From the employer’s posting.
Job description
LGG Advisors is an international consulting and
technology firm, with offices in Porto, Lisbon, London, and Madrid, and
provides a multitude of high added-value consultancy and technological services
to financial sector firms globally. Our team provides an array of comprehensive
services catering specifically to our clients' unique and evolving
circumstances which require creative and careful consideration,
decision-making, and guidance.
LGG is looking to expand its Digital & AI team with a
Senior Data Engineer who will work with clients in the design, implementation,
modernization, and optimization of enterprise-scale data platforms. This role
is designed for a senior professional with 5+ years of experience who is ready
to lead data engineering initiatives while contributing to complex client
transformation programs.
Description
- Design, migrate and implement modern
cloud-native data platforms using Microsoft Fabric and similar platforms,
accelerating data-driven transformation.
- Work in complex, fast-paced environments with
strong learning, mentoring and development opportunities.
- Contribute to client-facing data engineering
solutions for the financial services industry.
- Drive best practices in data architecture,
governance, quality, security and scalability.
Responsibilities
- Design, develop and maintain enterprise-grade
data platforms utilizing Microsoft Fabric and related technologies.
- Design and implement Medallion Architecture
(Bronze, Silver, and Gold) for support scalable and governed analytics
solutions.
- Build, optimize and maintain end-to-end data
pipelines covering all stages of the data lifecycle: Data ingestion; Data
transformation; Data orchestration; Data storage; Data quality and monitoring;
Data modeling; Analytics and reporting enablement.
- Develop solutions using Fabric Data Factory
OneLake, Lakehouse, Data Warehouse, Notebooks, Semantic Models, and Power BI.
- Design scalable ETL/ELT processes and data
models supporting enterprise reporting, analytics, and AI use cases.
- Implement best practices in data governance,
security, quality, lineage, and monitoring.
- Collaborate with consultants, engineers, product
owners, and client stakeholders in agile environments.
- Document technical designs and communicate
architecture decisions effectively.
Qualifications
- Bachelor's degree in Computer Science,
Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or
a related field.
- Professional proficiency in English.
Requirements
- 5+ years of experience in Data Engineering, Data
Platform Development, or Data Architecture.
- Minimum 2 years’ proven hands-on experience with
Microsoft Fabric across the end-to-end data lifecycle.
- Proven implementation of Medallion Architecture
in production environments.
- Experience with Lakehouse, Warehouse, Data
Factory, and Power BI Semantic Models
- Strong SQL and Python skills.
- Experience developing scalable ETL/ELT
pipelines.
- Experience with Apache Spark, Delta Lake, and
modern cloud data architectures.
- Strong understanding of data modeling and
dimensional modeling concepts.
- Experience implementing data governance,
security, and data quality frameworks.
- Familiarity with Azure cloud services and
enterprise architecture principles.
- Experience working in agile delivery
environments.
- Excellent analytical, problem-solving, and
communication skills.
Differential:
- Microsoft Fabric Analytics Engineer Associate
(DP-700) certification.
- Experience with Databricks, Snowflake, Azure
Synapse Analytics, Azure Data Lake Storage, or Azure SQL.
- Experience supporting analytics, AI, or machine
learning workloads.
- Experience within financial services,
consulting, or other regulated industries.
- Familiarity with CI/CD, DataOps, and DevOps
practices.
- Experience with Microsoft Purview.
- Experience mentoring junior engineers or leading
technical workstreams.
- Knowledge of Infrastructure as Code tools such
as Terraform, Bicep, or ARM Templates.
What We Offer
- Fast-growing
company with a presence in Porto, Lisbon, London, and Madrid.
- VISA
sponsorship and relocation support for candidates based outside Portugal
or Spain.
- Opportunity
to work on complex and stimulating projects for sophisticated clients
across the US and Europe.
- Competitive
salary and performance-based benefits.
- Hybrid
work model – up to 50% remote.
- Career
Development Plan tailored to your growth.
- Internal
and external Training Programs.
- Sponsorship
opportunities for certifications and advanced education.
At LGG
Advisors, we are committed to building a diverse and inclusive workplace. All
qualified applicants will be considered for employment regardless of race,
gender identity, sexual orientation, religion, nationality, age, or disability.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on lggadvisors.zohorecruit.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Porto/Lisbon, Portugal
- Competitive salary and performance-based benefits. - Hybrid work model – up to 50% remote. - Career Development Plan tailored to your growth.
- Work authorization
- Fast-growing company with a presence in Porto, Lisbon, London, and Madrid. - VISA sponsorship and relocation support for candidates based outside Portugal or Spain. - Opportunity to work on complex and stimulating projects for sophisticated clients across the US and Europe.
More source context
- Internal and external Training Programs. - Sponsorship opportunities for certifications and advanced education. At LGG Advisors, we are committed to building a diverse and inclusive workplace. All qualified applicants will be considered for employment regardless of race, gender identity, sexual orientation, religion, nationality, age, or disability.
- Status in our records
- Active
- First seen by us
- Aug 27, 2026
- Recorded sightings
- 11
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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