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Senior Data Engineer (Microsoft Fabric & AI/ML Data Platforms) - Financial Services
Visa Sponsorship
Relocation
AI Summary
Lead the design, implementation, and optimization of enterprise-scale cloud-native data platforms using Microsoft Fabric for financial services clients. Drive data-driven transformation, mentor teams, and ensure best practices in governance, security, and scalability. Requires 5+ years of senior data engineering experience with hands-on Microsoft Fabric expertise and Medallion Architecture implementation.
Key Highlights
Lead data engineering initiatives for financial services clients using Microsoft Fabric, Lakehouse, and Power BI.
5+ years of senior experience required with 2+ years of hands-on Microsoft Fabric implementation.
Hybrid work model (up to 50% remote) with career development, certification sponsorship, and global project opportunities.
Key Responsibilities
Design, migrate, and implement modern cloud-native data platforms using Microsoft Fabric for enterprise-scale clients.
Build and optimize end-to-end data pipelines (ingestion, transformation, orchestration, storage, quality, and analytics) following Medallion Architecture.
Develop scalable ETL/ELT processes and data models supporting analytics, AI, and reporting for financial services clients.
Implement data governance, security, quality, and monitoring best practices while collaborating with cross-functional teams.
Document technical designs and communicate architecture decisions to stakeholders in agile environments.
Technical Skills Required
Benefits & Perks
VISA sponsorship and relocation support for candidates outside Portugal or Spain
Hybrid work model (up to 50% remote)
Career Development Plan, internal/external training programs, and certification sponsorship
Nice to Have
Microsoft Fabric Analytics Engineer Associate (DP-700) certification
Experience with Databricks, Snowflake, Azure Synapse Analytics, or Azure SQL
Familiarity with CI/CD, DataOps, and DevOps practices
Knowledge of Infrastructure as Code (Terraform, Bicep, ARM Templates)
Experience mentoring junior engineers or leading technical workstreams
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.
- 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.
Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or a related field.
- Professional proficiency in English.
- 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.
- 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.
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- 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.
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