Job Description

At Eleven, we firmly believe in the transformative power of data analytics and AI to enhance business operations, drive informed decision-making and foster sustainable business growth.

To lead our young and ambitious Data and AI team we are seeking an experienced Lead Data. You will own the architecture of our data platform and the technical decisions that shape it, while remaining hands-on on our pipelines. You will lead a team of specialists; a data engineer and a data analyst, each an expert in their own field, and act as the main point of contact for our product, tech and business stakeholders.

Key Responsibilities
- Own the architecture of the data platform and the structural decisions that come with it: data modelling, governance, security and cost.
- Design, build and maintain scalable data pipelines on Azure using Databricks, Spark and dbt.
- Lead and grow the data team: code reviews, technical standards, prioritisation and skills development.
- Translate business and product needs into a prioritised data roadmap, and secure its delivery end to end.




- Guarantee the reliability, quality and cost efficiency of the platform, including Databricks spend management.
- Support the AI team in deploying their developments into production, empowering end-users to harness their full potential.
- Establish best practices and maintain data governance policies and data standards.
- Stay up to date on industry trends and incorporate them into the design of our data platform.

Idóneo profile
- Master's degree in computer science, Engineering, IT, or related field
- At least 3/5 years of experience in data engineering or data analytics, including a first experience as a lead or technical referent
- Demonstrated experience with cloud-based data platforms, preferably on Databricks
- Proficiency in SQL, Python and PySpark, with hands-on production experience of dbt
- Strong background in data warehousing, ETL processes and data modelling
- Ability to set a hig

📌 Data Lead (Madrid)
🏢 Littlebig Connection
📍 Madrid