Lead Data Platform Engineer - Lakehouse & Governance

Sabia Personal; Meis; Híbrido; EUR 70.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Indefinite contract

Private health insurance

Visa sponsorship (if applicable)

Relocation package (if applicable)

Hybrid opportunity in San Sebastian

Flexible working hours

Educational budget

Descripción de la vacante

Sabia Personal is seeking a data engineer to design and operate lakehouse data platforms, data catalogs, and governance from conception to production. You will build large-scale ETL/ELT pipelines, define schemas and versioning, and ensure data is clean, versioned, and accessible for analytics and AI workflows.

You will collaborate with ML/AI teams, mentor peers, and drive modern data tooling adoption while communicating with clients in English. A hybrid working model is available in Spain.

Formación

• Bachelors or master's degree in computer science, software engineering, or a related field.
• 4+ years of professional experience in data engineering with ownership of production data platforms or pipelines.
• Strong Python and SQL skills.
• Experience in data modeling, ETL development, and SQL/NoSQL databases.
• Hands-on with lakehouse architectures and Parquet/Delta Lake formats.
• Experience with Spark and orchestration tools like Airflow or Argo.
• Cloud data platforms expertise (Azure, AWS, or GCP) including containers and Kubernetes.
• Data governance fundamentals: catalogs, metadata, lineage, access control, versioning.
• Git-based workflows, CI/CD, and infrastructure-as-code experience.
• Excellent problem-solving and English communication; able to lead client discussions.

Responsabilidades

• Own the end-to-end design and delivery of data platform architectures — lakehouse, data catalog, and governance — from scoping to production release.
• Design, implement, and operate large-scale ETL/ELT pipelines and workflow orchestration to ensure clean, versioned, accessible data.
• Define data modeling, partitioning, schema evolution, and versioning conventions for scalable datasets.
• Establish and maintain authoritative data catalogs with schemas, metadata, lineage, and access policies.
• Validate released datasets against sources for completeness, correctness, and performance.
• Collaborate with ML/AI engineers to make data products consumable by analytics, APIs, and agents.
• Lead technical sessions with clients and cross-functional teams; document architectures for knowledge transfer.
• Mentor and review teammates to raise engineering standards.
• Stay current with trends in data engineering and drive adoption when valuable.

Conocimientos

Python

SQL

Data modeling

ETL/ELT

Lakehouse

Parquet/ Delta Lake

Spark

Airflow

Kubernetes

Cloud platforms

Data governance

Git & CI/CD

English communication

Geospatial data formats

LLM data prep

Educación

Bachelor's or Master's in CS / Software Engineering

Herramientas

None specified

Descripción del empleo

Sabia Personal is seeking a data engineer to design and operate lakehouse data platforms, data catalogs, and governance from conception to production. You will build large-scale ETL/ELT pipelines, define schemas and versioning, and ensure data is clean, versioned, and accessible for analytics and AI workflows.

You will collaborate with ML/AI teams, mentor peers, and drive modern data tooling adoption while communicating with clients in English. A hybrid working model is available in Spain.