Finance Data & BI Tech Lead - Azure, Snowflake & Power BI

SGS; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedule

Continuous learning opportunities

Comprehensive benefits platform

Descripción de la vacante

SGS is looking for a Finance Data & BI Technical Lead to design and deliver end-to-end data solutions for the Finance domain. You will lead a BI delivery team while ensuring the quality and alignment of data solutions with governance standards.

The ideal candidate should have 6+ years of data engineering experience, strong expertise in Azure and Finance data products, and solid leadership skills. Enjoy a flexible schedule and work in a diverse, multinational environment.

Formación

• 6+ years in data engineering / BI, including 3+ years in a Lead role.
• Strong experience delivering end-to-end data solutions in Finance environments.
• Ability to engage and influence senior stakeholders.
• Hands-on mindset with leadership capability.
• Fluent English.

Responsabilidades

• Own the technical delivery and quality of Finance data & BI solutions.
• Lead the design and implementation of data pipelines, data models and marts.
• Ensure alignment with data governance and architecture standards.
• Act as Tech Lead on Finance data initiatives.
• Collaborate with senior Finance stakeholders to translate business needs.
• Provide technical guidance to the delivery team.
• Drive Agile delivery and CI/CD practices.

Conocimientos

Data engineering / BI

Azure data ecosystem

Snowflake

DBT

Azure Data Factory

Power BI

SQL

Data modelling

Finance domain knowledge

Educación

Degree in Computer Science or equivalent experience

Herramientas

Azure DevOps

GitHub

Descripción del empleo

SGS is looking for a Finance Data & BI Technical Lead to design and deliver end-to-end data solutions for the Finance domain. You will lead a BI delivery team while ensuring the quality and alignment of data solutions with governance standards.

The ideal candidate should have 6+ years of data engineering experience, strong expertise in Azure and Finance data products, and solid leadership skills. Enjoy a flexible schedule and work in a diverse, multinational environment.