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Senior Data Engineer (MS Fabric Experience)

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) layers

  • Build and maintain end-to-end data pipelines across the data lifecycle

  • Develop solutions with Fabric Data Factory, OneLake, Lakehouse, and Power BI

  • Design scalable ETL/ELT processes and data models for reporting and AI

  • Implement data governance, security, quality, lineage, and monitoring practices

From the employer’s posting
Design and implement Medallion Architecture (Bronze, Silver, and Gold)
Build, optimize and maintain end-to-end data pipelines covering all stages of the data lifecycle
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.

What you’ll bring

All qualifications

Core 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.
Education & alternatives
Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or a related field. - Professional proficiency in English.

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.

Apply at LGG Advisors

Posting record

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Status in our records
Live
First seen by us
Aug 27, 202669 days ago
Recorded sightings
32
Last seen by us
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 69

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

LGG Advisors is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • Power BI
  • Snowflake
  • Spark
  • Terraform
Where the posting names them
- 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.
- 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.
- Experience mentoring junior engineers or leading technical workstreams. - Knowledge of Infrastructure as Code tools such as Terraform, Bicep, or ARM Templates. What We Offer

Your next step

Complete your application on lggadvisors.zohorecruit.com. The employer’s form will show what is required.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗


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.



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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.

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