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Data Platform Engineer

Queen Square Recruitmentbilbao, España

Hace más de 30 días

Descripción del trabajo

We're Hiring : Data Engineering Roles (Spain & Portugal) Location : Remote from Spain or Portugal

We are hiring for our client, a global consultancy supporting one of the top-tier companies in Europe. We are looking for candidates across three key focus areas. If you are interested and have the relevant skills, please apply promptly to discuss further :

Role 1 : Senior Data Platform Engineer – Reusable Data Components

Join the NNDAP (NN Data Analytics Platform) team and contribute to building high-quality, reusable software components used by over 110 data engineers globally.

Responsibilities :

Design, build, and deploy modular, testable data components and pipelines on Azure and Databricks.
Collaborate across business units to deliver scalable, reusable solutions.
Contribute to inner-source initiatives and knowledge sharing.
Drive standardization and quality through unit / system testing, CI / CD, and component lifecycle automation.

Requirements :

5+ years in software / data / platform engineering.

Strong experience with Azure data tools and cloud services.

Proficiency in Python, SQL, CI / CD practices, and containerization.

Inner-source / open-source experience preferred.

Tech stack : Azure, Azure Data Factory, Databricks, Delta Lake, Python, PySpark, SQL, Bicep (IaC), Git, DevOps pipelines

Role 2 : Data Governance Platform Engineer – Unity Catalog & Collibra

Support the operational excellence and innovation of the Databricks Unity Catalog and Collibra platforms, enabling secure, governed, and discoverable data access across the enterprise.

Responsibilities :

Manage, configure, and optimize Unity Catalog & Collibra platforms.

Enable self-service, secure data access aligned with data governance standards.

Implement data lineage, audit logging, and access monitoring.

Collaborate with cross-functional teams to ensure smooth platform integration and support.

Automate deployments and improve platform reliability through CI / CD.

Requirements :

5+ years in data engineering or governance.

Hands-on experience with Databricks Unity Catalog (1+ year minimum).

Strong skills in metadata management, access policies (RBAC / ABAC), and platform security.

Knowledge of Collibra or other governance tools is a plus.

Tech stack : Unity Catalog, Collibra, Azure, Databricks, Python, SQL, Azure DevOps, CI / CD, Bash, Terraform (optional)

Role 3 : Senior Platform Engineer – MLOps, Seldon, MLflow, Kubernetes

Be a key player in running and evolving the NNDIP Machine Learning platform, enabling scalable and secure deployment of AI models.

Responsibilities :

Operate and evolve the NNDIP MLOps platform with Seldon and MLflow.

Manage Kubernetes-based infrastructure for model deployment and monitoring.

Develop enhancements using Python and FastAPI; automate via CI / CD pipelines.

Support data scientists with deployment best practices.

Collaborate with infrastructure and security teams to ensure reliable and compliant operations.

Requirements :

Strong Kubernetes & Python skills (including FastAPI).

Proven MLOps experience with tools like Seldon and MLFlow.

Familiar with CI / CD (ArgoCD or Azure DevOps), Docker, and AWS.

Defensive coding, unit testing, and model lifecycle knowledge.

Tech stack : Kubernetes, Seldon, MLFlow, Istio, Prometheus, Grafana, FastAPI, Python, ArgoCD, Terraform, AWS

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Platform Engineer • bilbao, España