Senior Data Engineer | Remote | Spain

Talent-R; Las Palmas de Gran Canaria; A distancia; EUR 55.000 - 70.000; Jornada completa

Descripción de la vacante

A pioneering company in the Marketing sector seeks a Senior Data Engineer to lead data governance and architecture initiatives. This fully remote role requires expertise in data technologies and a strong leadership ability, providing a chance to work at the intersection of technology and creativity. Enjoy flexible hours, ample vacation, and a performance-based bonus in a dynamic work environment.

Servicios

Full remote (EU only)

Flexible working hours

23 vacation days + birthday off

Performance-based bonus

Formación

• 5+ years of experience in data engineering within high-scale environments.
• Expertise in data technologies (Spark, Airflow, etc).
• Strong design ability for analytics and machine learning.

Responsabilidades

• Lead implementation of data governance policies and ensure data quality.
• Design efficient data architectures to handle growth.
• Collaborate with stakeholders to gather data requirements.

Conocimientos

Data Governance

Data Architectures

Data Exploration

DevOps

Leadership

Data Technologies

Communication

Herramientas

Spark

Airflow

DBT

Kafka

Snowflake

Databricks

AWS

GCP

Azure

Descripción del empleo

We’re seeking a Senior Data Engineer willing to play a leadership role in a pioneering company in the Marketing sector that combines technology, AI, and creative strategies to deliver cutting-edge web design, SEO, social media management, and digital analytics solutions.

• Salary : Up to 65K + variable
• Full remote

1. Data Governance Leadership

• Lead the definition and implementation of data governance policies including cataloging, data lineage, data quality, and security.
• Ensure regulatory compliance and the reliability of organizational data assets.
• Design and implement scalable, maintainable, and efficient data architectures.
• Future-proof the infrastructure to handle increasing data volume and complexity.

3. Stakeholder Collaboration

• Partner with key stakeholders (business, data science, marketing, etc.) to gather data requirements.
• Provide transparency on project progress and deliver impactful data solutions.

4. Data Exploration & Optimization

• Participate in exploratory data analysis to detect patterns, anomalies, and opportunities.
• Use insights to inform the design and optimization of data pipelines and models.

5. Technical Leadership & Best Practices

• Drive adoption of best practices in data engineering : CI / CD, automated testing, and proactive monitoring.
• Set high engineering standards and mentor team members.

QUALIFICATIONS

• 5+ years of experience in data engineering, ideally in high-scale or distributed environments.
• Proven expertise in data technologies such as Spark, Airflow, DBT, Kafka, Snowflake, and / or Databricks.
• Hands-on experience applying DevOps principles to data pipelines : CI / CD, version control, monitoring, and testing.
• Strong ability to design and implement data models for analytics, BI, and machine learning applications.
• Solid understanding of cloud platforms (AWS, GCP, or Azure), especially data-related services.
• Excellent communication skills for translating technical concepts to both technical and non-technical audiences.
• Demonstrated leadership or mentorship experience within technical teams.

BENEFITS

• Full remote (EU only)
• Flexible working hours and shortened workdays every Friday
• 23 working days of vacation + your birthday off.
• Performance-based bonus linked to team objectives.