Data Engineer

SQLI; Valencia; Híbrido; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent contract

Hybrid work policy

Private health insurance

Udemy Business access

Training budget

Meal vouchers

Kinder garden support

Public Transport/Mobility

Sick leave pay

Descripción de la vacante

SQLI is seeking a Data Engineer to design, build, and optimize end-to-end data solutions within BI and Analytics environments. You will work closely with stakeholders to transform business needs into scalable data solutions.

The role involves implementing transformations in Snowflake, developing analytical data models, and exposing data for Power BI consumption. You will collaborate with an international team and communicate in English.

Formación

• Proven experience as a Data Engineer in BI and Data & Analytics environments.
• Advanced SQL expertise, including complex queries and procedure development.
• Strong experience in analytical data modeling.
• Hands-on experience with Snowflake (transformations, procedures, tasks).
• Strong analytical mindset and E2E solution design capabilities.
• Ability to work independently, from requirements gathering to delivery.

Responsabilidades

• Analyze business requirements and design end-to-end data solutions.
• Develop, maintain, and optimize data pipelines in BI and analytics environments.
• Implement transformations, procedures, and tasks in Snowflake.
• Design and maintain efficient, scalable analytical data models.
• Optimize SQL queries and data processes to improve performance and cost efficiency.
• Prepare and expose data for consumption in Power BI and other analytical tools.
• Collaborate on the definition of metrics, KPIs, and semantic models.
• Work in an Agile / Scrum environment with technical and business teams.
• Present progress, solutions, and recommendations to international stakeholders in English.
• Document data architectures, processes, and developments, and propose continuous improvements.

Conocimientos

Data Engineering

SQL

Snowflake

Power BI

Data Modeling

BI & Analytics

Herramientas

Snowflake

Power BI

SQL

Descripción del empleo

We Elevate. Digitally.

SQLI, a European leader in customer experience and digital transformation, helps major international brands create value through technology and digital innovation. From strategy to the deployment of our clients technological assets, we design and build robust, high-performance architectures and engaging experiences by combining cutting‑edge technologies, proven methodologies, and deep technical expertise.

To strengthen our teams (2,200 people across 12 countries), we are recruiting passionate individuals who share our values:

Creative Spirit, Commitment, Forward Thinking.

Job Description

We are looking for a Data Engineer. He/she will play a key role in designing, building, and optimizing end-to-end data solutions within Business Intelligence and Data & Analytics environments. He/She will work closely with technical and business stakeholders to transform business needs into scalable, high-quality data solutions.

What is this all about?

• Analyses business requirements and design end-to-end (E2E) data solutions


• Develop, maintain, and optimize data pipelines in BI and analytics environments


• Implement transformations, procedures, and tasks in Snowflake


• Design and maintain efficient, scalable analytical data models


• Optimize SQL queries and data processes to improve performance and cost efficiency


• Prepare and expose data for consumption in Power BI and other analytical tools


• Collaborate on the definition of metrics, KPIs, and semantic models


• Work in an Agile / Scrum environment with technical and business teams


• Present progress, solutions, and recommendations to international stakeholders in English


• Document data architectures, processes, and developments, and propose continuous improvements

Qualifications

Who are you?

• Proven experience as a Data Engineer in BI and Data & Analytics environments


• Advanced SQL expertise, including complex queries and procedure development


• Strong experience in analytical data modeling


• Hands-on experience with Snowflake (transformations, procedures, tasks)


• Strong analytical mindset and E2E solution design capabilities


• Ability to work independently, from requirements gathering to delivery

Skills & Behaviours

• Fluent in English both writing and speaking.


• Excellent communication skills with different audiences.


• Capable to lead, pursue and empower as a mentor the agile team.


• Trouble-shooting management.


• Action Oriented


• Peer Relationship


• Service Orientation

Additional Information

What do we offer?

• Permanent contract.


• Hybrid policy work. (1 day office, 4 days home office)


• Competitive salary.


• Flexible Remuneration (Meal vouchers, kinder garden, Public Transport/Mobility)


• Private health insurance (including dental care).


• UDEMY Business member platform with a lot of on-line learnings (certifications, courses, etc).


• Individual yearly training and certification budget.


• Work Schedule Monday to Friday.


• Flexible work hours with shorter Fridays and summer schedule


• Full salary coverage for sick leave.

Data protection notice

SQLI Group ensures that applicants' personal data is processed as required by the EU General Data Protection Regulation (GDPR) and the Ley de Protección de Datos 3/2018 of the Spanish Kingdom . Personal data is processed for the purpose of carrying out the hiring process and joining to our talent community. You can exercise your rights in terms of General Data Protection and digital guarantees through [e-mail]

SQLI Group ensures that applicants' personal data is processed as required by the EU General Data Protection Regulation (GDPR) and the Ley de Protección de Datos 3/2018 of the Spanish Kingdom . Personal data is processed for the purpose of carrying out the hiring process and joining to our talent community. You can exercise your rights in terms of General Data Protection and digital guarantees through [e-mail]. You can learn more about your rights regarding data protection and our Data Policy by clicking on Privacy Center Hub