Senior Data Engineer - Snowflake & AWS | Global Pipelines

Infinity Quest Limited; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Infinity Quest Limited is seeking an experienced Senior Data Engineer to support local systems and global data products. This horizontal role works across multiple data domains, systems, and teams, with hands-on data engineering as the primary focus.

The role involves building and maintaining data pipelines, data modelling, analysis, solution design, and data architecture, collaborating with Madrid-based stakeholders and distributed teams worldwide.

Qualifications

• Experience with Snowflake, AWS, Matillion, and SQL.
• Good knowledge of ETL/ELT, data warehousing, and data integration.
• Experience in data modelling and data analysis.
• Understanding of data architecture, data quality, and governance principles.
• Fluent Spanish and professional English.

Responsibilities

• Design, build, and maintain scalable data pipelines using Snowflake, AWS, and Matillion.
• Integrate data from local systems into enterprise platforms and global data products.
• Develop and optimise SQL-based data transformations.
• Analyse source data, business rules, data quality, and system dependencies.
• Design reusable data models for reporting, analytics, and data products.
• Contribute to data architecture and solution-design discussions.
• Work horizontally across different teams, platforms, and data domains.
• Identify dependencies, risks, and opportunities for standardisation or reuse.
• Document data flows, integration patterns, and technical solutions.
• Collaborate effectively with local Spanish-speaking stakeholders and global teams.

Skills

Snowflake

AWS

Matillion

SQL

ETL/ELT

Data warehousing

Data integration

Data modelling

Data analysis

Data architecture

Data quality

Governance

Spanish

English

Job description

Infinity Quest Limited is seeking an experienced Senior Data Engineer to support local systems and global data products. This horizontal role works across multiple data domains, systems, and teams, with hands-on data engineering as the primary focus.

The role involves building and maintaining data pipelines, data modelling, analysis, solution design, and data architecture, collaborating with Madrid-based stakeholders and distributed teams worldwide.