Senior Data Engineer | Remote | Spain

Talent-R; Logroño; A distancia; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A pioneering company in the Marketing sector is seeking a Data Engineering Leader to drive governance and design of scalable data architectures. The role involves collaborating with stakeholders, mentoring technical teams, and optimizing data pipelines. This full remote position offers flexibility, generous vacation time, and performance-based bonuses.

Servicios

Full remote (EU only)

Flexible working hours

Shortened workdays every Friday

23 working days of vacation + birthday off

Performance-based bonus

Gym discounts

Team-building activities

Formación

• 5+ years of experience in data engineering.
• Proven expertise in data technologies for distributed environments.
• Strong ability to communicate technical concepts effectively.

Responsabilidades

• Lead the definition and implementation of data governance policies.
• Design and implement data architectures for scalability and efficiency.
• Collaborate with stakeholders to gather data requirements.

Conocimientos

Data Governance

Data Architecture

Stakeholder Collaboration

Data Exploration

Technical Leadership

DevOps Principles

Cloud Platforms

Data Technologies

Herramientas

Spark

Airflow

DBT

Kafka

Snowflake

Databricks

AWS

GCP

Azure

Descripción del empleo

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. Location :

Up to 65K + variable Full remote

RESPONSIBILITIES ️ 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. 2. Scalable Architecture Design 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

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. ️ Gym discounts Team-building activities, celebrations, and off-sites.