Senior Data Engineer AI - Portugal
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 8h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-09-28). Last seen at its source 2h ago.
We have tracked this listing since 28 Sep 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Portugal
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €57.8k–129.9k/yr
Middle 50% of 10 listings that do state pay — Engineering · all levels · Portugal · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 3d ago · last seen 2h ago
The listing
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.