Lead Data & AI Platform Architect

Eleven Vms

Málaga

Hybrid

EUR 70,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work options
Learning opportunities
Career growth

Job summary

Eleven VMS is seeking an experienced Lead Data to own the architecture of our data platform and steer pipelines end-to-end. You will lead a small data team including a data engineer and data analyst, collaborating with product, tech and business stakeholders.

The role requires a Master's degree and 3–5 years in data engineering or analytics, with strong SQL, Python, PySpark and dbt experience on cloud platforms, preferably Databricks. Hybrid work is offered.

Qualifications

  • Master's degree in computer science, engineering or related field.
  • 3–5+ years in data engineering or data analytics with lead experience.
  • Experience with cloud data platforms and Databricks.
  • Proficient in SQL, Python and PySpark with dbt production experience.
  • Strong data governance, warehousing and ETL skills.
  • Clear communication with technical and business stakeholders.

Responsibilities

  • Own the architecture of the data platform and governance.
  • Design, build and maintain scalable data pipelines on Azure.
  • Lead and grow the data team and set technical standards.
  • Translate business needs into a data roadmap and deliver end-to-end.
  • Ensure reliability, quality and cost efficiency of the platform.

Skills

SQL
Python
PySpark
dbt
Databricks
Data modelling
ETL processes
Data warehousing
Governance
Stakeholder communication

Education

Master's degree in CS/Engineering

Tools

Azure Databricks
Spark

Job description

Eleven VMS is seeking an experienced Lead Data to own the architecture of our data platform and steer pipelines end-to-end. You will lead a small data team including a data engineer and data analyst, collaborating with product, tech and business stakeholders.

The role requires a Master's degree and 3–5 years in data engineering or analytics, with strong SQL, Python, PySpark and dbt experience on cloud platforms, preferably Databricks. Hybrid work is offered.

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