
Senior Data Engineer – Team Lead, Project Delivery
LUZA Group
contract
Posted on:
Location Type: Office
Location: Lisboa • Portugal
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Job Level
About the role
- Design and implement scalable, secure, and resilient data architectures (on-premises, cloud, or hybrid).
- Manage the full lifecycle of data projects, from requirements gathering through delivery and maintenance.
- Develop and optimize ETL processes to handle large volumes of structured and unstructured data.
- Maintain data pipelines and oversee ingestion across multiple platforms.
- Promote data engineering best practices, 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.
- Advocate agile and DevOps practices within the team.
Requirements
- Minimum of 10 years' experience in data engineering.
- Experience leading multidisciplinary teams.
- Proven experience delivering end-to-end projects, from requirements gathering to deployment.
- Strong communication and stakeholder management skills.
- Technology stack: Python, Scala, SQL, Spark, MongoDB, PostgreSQL, OpenShift, Azure Data Lake, Databricks.
- Familiarity with emerging big data technologies.
- Experience 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architectureETL processesdata pipelinesdata ingestionPythonScalaSQLSparkMongoDBPostgreSQL
Soft skills
communicationstakeholder managementteam leadershipcollaborationagile practicesDevOps practices