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7 d agofound 5 d ago
Senior Data Engineer AI - Portugal
What the posting is about
We're seeking a Senior Data Engineer with a software craftsmanship mindset to join our Portugal team. You'll collaborate with delivery teams, building scalable data systems using Databricks. Strong software engineering practices and experience with data pipelines are essential. Bonus: cloud experience (AWS or Azure) and ML/AI feature pipeline knowledge.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationPortugal
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-28
Found viaworkable, direct from their system
We saw it 2 days after it went up.
The posting, as the company wrote it
Employment: Full-time
We are looking for a Senior Data Engineer who shares our values of software craftsmanship, pragmatism, professionalism. You understand that data engineering is, at its core, great software engineering, applied at scale, with rigour, and with production in mind.
This is not a standalone data role. You will work as part of our software delivery teams, helping clients build production-grade data foundations in broader modernisation, platform, data, and AI-readiness engagements. Databricks is our primary data engineering platform, and you will be expected to use it fluently; but the goal is always durable, well-crafted data systems, not tool advocacy.
Requirements
Current or recent experience:
Data Engineer, Senior Data Engineer, Data Platform Engineer, or Databricks Engineer role.
Essential – Databricks in production
Hands-on experience with Databricks in production, including Delta Lake, Spark/PySpark, Unity Catalog, or production lakehouse projects.
Essential – Strong software engineering practices
Strong experience with Python, testing, Git, CI/CD, code review, deployment, or Infrastructure as Code.
Essential – Builds and operates reliable pipelines
Experience with data quality, orchestration, monitoring, lineage, schema evolution, or data contracts.
Essential – Consulting and collaboration
Experience with client delivery, stakeholder engagement, modernisation projects, mentoring, or working across engineering teams.
Preferred – Cloud
Experience with AWS or Azure.
Either cloud is acceptable for the role.
Differentiator – Data for production ML/AI
Experience with ML/AI feature pipelines, MLflow, model lineage, embeddings, vector search, retrieval, or evaluation datasets.
Copied from Codurance’s own board, not rewritten. Original ↗
Also open at Codurance
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