Note: The job is a remote job and is open to candidates in USA. IRIUM Portugal is an innovative and growing company focused on delivering high-quality data engineering solutions. They are seeking a Senior Data Engineer to build scalable, high-performance data platforms and analytics solutions using cloud-native technologies and Microsoft cloud data services. The role involves designing end-to-end data architectures, optimizing data pipelines, and mentoring junior engineers.
Responsibilities
- Minimum 5 years of experience in Data Engineering, with a focus on cloud-native solutions and data architecture
- Strong experience in end-to-end data architecture and design, including ingestion, data modelling, storage, and orchestration
- Experience with Medallion Architecture or similar data architecture patterns
- Strong knowledge of Microsoft cloud data technologies, particularly: Microsoft Fabric, Azure Data Factory, Azure Synapse
- Experience with other cloud platforms such as AWS or Google Cloud and equivalent data services will also be considered
- Hands-on experience with Data Warehousing and Data Lake solutions, such as Azure Data Lake, Delta Lake, BigQuery or Amazon Redshift
- Strong programming skills in Python, SQL and/or Spark
- Experience with Python data libraries such as Pandas, Boto3 or similar
- Strong knowledge of relational databases (Oracle, MS SQL Server or similar) and/or NoSQL technologies (MongoDB, Elasticsearch, GBQ or similar)
- Experience with DevOps/DataOps practices and CI/CD pipelines
- Experience implementing data validation, lineage, documentation, and monitoring at scale
- Ability to optimize data pipelines and storage solutions for performance, cost, and reliability
- English proficiency – minimum B2
- Ability to evaluate technical trade-offs and make clear and well-supported decisions
- Ability to communicate complex engineering decisions effectively to technical and non-technical stakeholders
- Experience mentoring mid-level and junior engineers and promoting engineering standards and best practices
- Strong analytical and problem-solving skills
- Ability to break down complex and ambiguous challenges into actionable solutions
- Ownership mindset and ability to anticipate issues and contribute to the long-term evolution of data platforms
- Strong collaboration and communication skills
Skills
- Minimum 5 years of experience in Data Engineering, with a focus on cloud-native solutions and data architecture
- Strong experience in end-to-end data architecture and design, including ingestion, data modelling, storage, and orchestration
- Experience with Medallion Architecture or similar data architecture patterns
- Strong knowledge of Microsoft cloud data technologies, particularly: Microsoft Fabric, Azure Data Factory, Azure Synapse
- Experience with other cloud platforms such as AWS or Google Cloud and equivalent data services will also be considered
- Hands-on experience with Data Warehousing and Data Lake solutions, such as Azure Data Lake, Delta Lake, BigQuery or Amazon Redshift
- Strong programming skills in Python, SQL and/or Spark
- Experience with Python data libraries such as Pandas, Boto3 or similar
- Strong knowledge of relational databases (Oracle, MS SQL Server or similar) and/or NoSQL technologies (MongoDB, Elasticsearch, GBQ or similar)
- Experience with DevOps/DataOps practices and CI/CD pipelines
- Experience implementing data validation, lineage, documentation, and monitoring at scale
- Ability to optimize data pipelines and storage solutions for performance, cost, and reliability
- English proficiency – minimum B2
- Ability to evaluate technical trade-offs and make clear and well-supported decisions
- Ability to communicate complex engineering decisions effectively to technical and non-technical stakeholders
- Experience mentoring mid-level and junior engineers and promoting engineering standards and best practices
- Strong analytical and problem-solving skills
- Ability to break down complex and ambiguous challenges into actionable solutions
- Ownership mindset and ability to anticipate issues and contribute to the long-term evolution of data platforms
- Strong collaboration and communication skills
Benefits
- 12 additional Compensation Days, in addition to the standard holiday entitlement, distributed across Christmas/New Year, Easter, and Carnival periods.
- Access to flexible pay and medical insurance as a social benefit.
- Unlimited access to technological training in free mode.
- Opportunities for professional development.
- Retribution according to your experience and performance.
Company Overview