Checkout Data Analyst - AI Dashboards & Pipelines

eDreams ODIGEO; Barcelona; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid home-office model

Job summary

eDreams ODIGEO, Barcelona, is seeking a Data Engineer to build and optimize data pipelines, assemble large datasets, and ensure data quality and availability for key stakeholders and business processes.

You will collaborate with analytics and product teams, apply SQL, Python and BI tools like Looker Studio, and explore AI-powered workflows to drive data-driven decisions in a hybrid work model.

Qualifications

• Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, etc.).
• Experience building and optimising data pipelines, data sets and workflow management tools (e.g. Dataform).
• Advance knowledge of SQL is a requirement as well as experience working with databases and large sets of data; Python programming skills are also required as well as experience in data visualisation or exploration tools such as Looker Studio.

Responsibilities

• Build the infrastructure required for the extraction, transformation and loading of data from a wide variety of data sources.
• Assemble large and complex datasets, with an optimal data pipeline architecture, meeting business requirements.
• Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Create alerts and dashboards to contribute to the monitoring and tracking of our business KPIs.
• Identify, design and implement internal process improvements: automating manual processes, optimising queries, re-designing infrastructure for greater scalability, etc.

Skills

SQL

Python

Data pipelines

Looker Studio

Dataform

AI tools

English

Data modeling

Education

Bachelor's degree in quantitative field

Tools

Dataform

Looker Studio

Job description

eDreams ODIGEO, Barcelona, is seeking a Data Engineer to build and optimize data pipelines, assemble large datasets, and ensure data quality and availability for key stakeholders and business processes.

You will collaborate with analytics and product teams, apply SQL, Python and BI tools like Looker Studio, and explore AI-powered workflows to drive data-driven decisions in a hybrid work model.