Senior Data Engineer | Remote | Spain

Talent-R; Cádiz; A distancia; EUR 55.000 - 65.000; Jornada completa

Descripción de la vacante

A pioneering company in the Marketing sector is seeking a Senior Data Engineer to lead data governance and explore data analytics. This full remote position requires strong expertise in data technologies and a proven ability to mentor and lead technical teams. Enjoy flexible working hours, generous vacation days, and a performance-based bonus.

Servicios

Flexible working hours

Shortened workdays every Friday

23 working days of vacation + birthday off

Performance-based bonus

Formación

• 5+ years of experience in data engineering, ideally in high-scale environments.
• Expertise in data technologies and DevOps principles.
• Strong ability to design data models for analytics and machine learning.

Responsabilidades

• Lead data governance policies and implementation.
• Drive stakeholder collaboration for data requirements.
• Optimize data pipelines through exploratory analysis and insights.

Conocimientos

Data Governance

Data Architecture

Data Analysis

Technical Leadership

Communication

Herramientas

Spark

Airflow

DBT

Kafka

Snowflake

Databricks

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.