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Senior Data Engineer AI - Portugal

🕒 3 days ago
DatabricksDelta LakeSparkPyspark

📜 Description

  • Collaborate with software delivery teams to create production-grade data foundations.
  • Utilize Databricks for data engineering, including Delta Lake and Spark/PySpark.
  • Implement strong software engineering practices, including CI/CD and Infrastructure as Code.
  • Build and maintain reliable data pipelines with a focus on data quality and monitoring.
  • Engage with clients and stakeholders on modernization projects and mentoring.

🛠️ Requirements

  • Current or recent experience:Data Engineer, Senior Data Engineer, Data Platform Engineer, or Databricks Engineer role.
  • Essential – Databricks in productionHands-on experience with Databricks in production, including Delta Lake, Spark/PySpark, Unity Catalog, or production lakehouse projects.
  • Essential – Strong software engineering practicesStrong experience with Python, testing, Git, CI/CD, code review, deployment, or Infrastructure as Code.
  • Essential – Builds and operates reliable pipelinesExperience with data quality, orchestration, monitoring, lineage, schema evolution, or data contracts.
  • Essential – Consulting and collaborationExperience with client delivery, stakeholder engagement, modernisation projects, mentoring, or working across engineering teams.
  • Preferred – CloudExperience with AWS or Azure.Either cloud is acceptable for the role.
  • Differentiator – Data for production ML/AIExperience with ML/AI feature pipelines, MLflow, model lineage, embeddings, vector search, retrieval, or evaluation datasets.
Full job description

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.

Anvilogic

Senior Data Operations Engineer

🕒 3 days ago
Anvilogic👥 51 - 200 employees🏢 Computer & Network Security

As a Senior Data Operations Engineer, you will ensure the health, performance, and cost efficiency of Snowflake accounts for customers, optimizing their data environments and providing expert support.

SnowflakeData OperationsData EngineeringDatabase Administration

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