Senior Data Engineer – AI

🔥 1 minute ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Codurance

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Codurance is a global software consultancy firm focused on helping businesses modernize their technical capabilities and build sustainable growth. With a dedication to Software Craftsmanship, Codurance emphasizes professionalism and technical excellence in software development. The company offers a range of services, including software modernization, product development, and cloud engineering, tailored to help clients solve complex challenges and achieve their business goals. Codurance partners with leading technology teams and utilizes agile and lean processes to ensure efficient and impactful delivery.

📋 Description

• Work as part of software delivery teams • Help clients build production-grade data foundations • Contribute to modernisation, platform, data, and AI-readiness engagements • Use Databricks as the primary data engineering platform • Build durable, well-crafted data systems with production focus

🎯 Requirements

• Current or recent experience as a Data Engineer, Senior Data Engineer, Data Platform Engineer, or Databricks Engineer • Hands-on experience with Databricks in production, including Delta Lake, Spark/PySpark, Unity Catalog, or production lakehouse projects • Strong experience with Python, testing, Git, CI/CD, code review, deployment, or Infrastructure as Code • Experience with data quality, orchestration, monitoring, lineage, schema evolution, or data contracts • Experience with client delivery, stakeholder engagement, modernisation projects, mentoring, or working across engineering teams • Experience with AWS or Azure; either cloud is acceptable • Experience with ML/AI feature pipelines, MLflow, model lineage, embeddings, vector search, retrieval, or evaluation datasets