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Porto/Lisbon, Portugal
Live, first seen by us 69 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s 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
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.
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.
Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or a related field. - Professional proficiency in English.
From the employer’s posting.
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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.
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Hiring recordAdd 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.
- 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
Complete your application on lggadvisors.zohorecruit.com. The employer’s form will show what is required.
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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.
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.
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
Responsibilities
Qualifications
Requirements
Differential:
What We Offer
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Porto/Lisbon, Portugal
- Competitive salary and performance-based benefits. - Hybrid work model – up to 50% remote. - Career Development Plan tailored to your growth.
- 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.
- 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.