Job Title: Senior Data Engineer Team Lead & Project Delivery
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid
Overview / Summary:
We are looking for a Lead Data Engineer to design and maintain scalable data architectures and pipelines ensuring high data quality and availability across complex environments. This professional will lead multidisciplinary teams and oversee end-to-end project delivery from requirements gathering to deployment.
Responsibilities and Tasks:
- Design and implement scalable secure and resilient data architectures (on-prem cloud or hybrid).
- Manage the full lifecycle of data projects from requirements gathering to delivery and maintenance.
- Develop and optimize ETL processes for handling large volumes of structured and unstructured data.
- Maintain data pipelines and oversee ingestion processes across multiple platforms.
- Promote best practices in data engineering including version control automated testing CI/CD and monitoring.
- Collaborate with Data Governance Analytics and AI teams to ensure data consistency and usability.
- Provide hands-on expertise in ETL development pipeline maintenance and data ingestion using Azure Data Lake and Databricks.
- Promote agile and DevOps practices within the team.
Requirements
Mandatory Requirements:
- Minimum of 10 years experience in Data Engineering.
- Experience leading multidisciplinary teams.
- Experience in end-to-end project delivery from requirements gathering to deployment.
- Strong communication skills.
Stack Tech
- Python
- Scala
- SQL
- Spark
- MongoDB
- PostgreSQL
- OpenShift
- Azure Data Lake
- Databricks
Complementary Requirements:
- Familiarity with emerging Big Data technologies.
- Experience in designing data architectures.
- Ability to promote agile and DevOps practices.
Benefits
Important:
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
#VisionaryFuture - Build the future join our living ecosystem!
Required Skills:
Mandatory Requirements: Minimum of 10 years experience in Data Engineering. Experience leading multidisciplinary teams. Experience in end-to-end project delivery from requirements gathering to deployment. Strong communication skills. Stack Tech Python Scala SQL Spark MongoDB PostgreSQL OpenShift Azure Data Lake Databricks
Job Title: Senior Data Engineer Team Lead & Project Delivery Location: Lisbon PortugalWork Regime: Full-time & Hybrid Overview / Summary: We are looking for a Lead Data Engineer to design and maintain scalable data architectures and pipelines ensuring high data quality and availability across com...
Job Title: Senior Data Engineer Team Lead & Project Delivery
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid
Overview / Summary:
We are looking for a Lead Data Engineer to design and maintain scalable data architectures and pipelines ensuring high data quality and availability across complex environments. This professional will lead multidisciplinary teams and oversee end-to-end project delivery from requirements gathering to deployment.
Responsibilities and Tasks:
- Design and implement scalable secure and resilient data architectures (on-prem cloud or hybrid).
- Manage the full lifecycle of data projects from requirements gathering to delivery and maintenance.
- Develop and optimize ETL processes for handling large volumes of structured and unstructured data.
- Maintain data pipelines and oversee ingestion processes across multiple platforms.
- Promote best practices in data engineering including version control automated testing CI/CD and monitoring.
- Collaborate with Data Governance Analytics and AI teams to ensure data consistency and usability.
- Provide hands-on expertise in ETL development pipeline maintenance and data ingestion using Azure Data Lake and Databricks.
- Promote agile and DevOps practices within the team.
Requirements
Mandatory Requirements:
- Minimum of 10 years experience in Data Engineering.
- Experience leading multidisciplinary teams.
- Experience in end-to-end project delivery from requirements gathering to deployment.
- Strong communication skills.
Stack Tech
- Python
- Scala
- SQL
- Spark
- MongoDB
- PostgreSQL
- OpenShift
- Azure Data Lake
- Databricks
Complementary Requirements:
- Familiarity with emerging Big Data technologies.
- Experience in designing data architectures.
- Ability to promote agile and DevOps practices.
Benefits
Important:
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
#VisionaryFuture - Build the future join our living ecosystem!
Required Skills:
Mandatory Requirements: Minimum of 10 years experience in Data Engineering. Experience leading multidisciplinary teams. Experience in end-to-end project delivery from requirements gathering to deployment. Strong communication skills. Stack Tech Python Scala SQL Spark MongoDB PostgreSQL OpenShift Azure Data Lake Databricks
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