Data Engineer
Alpineo Consulting · Portugal ·
- Work mode
- Remote
- Category
- Data engineering
- Visa sponsorship
- No
Alpineo Consulting · Portugal ·
Guidehouse · US - Remote (Any location)
Xtremax Pte. Ltd. · Singapore, Singapore, Singapore
We Are META · Portugal
Azura Labs Official · Indonesia
Fully remote (Portuguese time zone) Data Engineer role building AWS Lakehouse data platforms: designing Apache Iceberg tables, developing scalable ELT/ETL pipelines, managing compaction and retention, and tuning performance. Core stack is AWS services such as S3, Glue, Redshift, Lake Formation, MWAA, and Step Functions.
🚀 We’re Hiring: Data Engineer — AWS
We are looking for a Data Engineer to join our team and work on modern AWS data platforms, Lakehouse architectures, data pipelines, and scalable ELT solutions.
Work Model: Fully Remote
Time Zone: Portuguese time zone
🇬🇧 Language: Fluent English
☁️ What You’ll Work With
AWS Data Engineering
Lakehouse Engineering
Apache Iceberg
Data Ingestion & Transformation
Pipeline Orchestration
ELT / ETL
Data Processing
Performance Tuning
Data Governance
Data Quality & Reliability
Key Responsibilities
Support and develop data ingestion and transformation frameworks
Design, maintain, and optimise Iceberg tables
Manage compaction and retention processes
Develop and maintain scalable data pipelines
Troubleshoot and resolve pipeline and data processing issues
Support domain teams in implementing scalable ELT and orchestration standards
Contribute to performance tuning and optimisation
Ensure data solutions are reliable, scalable, and production-ready
Support release management and SDLC deliverables
Contribute to data engineering best practices and platform standards
What We’re Looking For
Professional experience as a Data Engineer
Strong experience with AWS
Experience with Lakehouse architectures
Hands-on experience with Apache Iceberg
Strong knowledge of ETL / ELT and data processing
Experience with data pipeline orchestration
Experience with performance tuning and optimisation
Good understanding of data engineering best practices
Experience working with production data pipelines and troubleshooting
Strong analytical and problem-solving skills
Fluent English
Experience with AWS services such as S3, Glue, Redshift, Lake Formation, DataZone, MWAA, or Step Functions is a plus.
Fully Remote | Portugal
If you are passionate about AWS, Data Engineering, Lakehouse technologies, and building scalable data solutions, we’d love to hear from you!
Interested? Get in touch or apply now.
NOTE
We only accept applicants who hold a work visa for Portugal
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