Senior Data Engineer | Remote | Spain

Talent-R; Zaragoza; A distancia; EUR 60.000 - 70.000; Jornada completa

Descripción de la vacante

A pioneering company in the Marketing sector seeks a leader in Data Engineering to implement governance policies and design scalable architectures. With a focus on collaboration and innovation, this full remote position offers a competitive salary and numerous benefits, including flexible hours and vacation perks.

Servicios

Flexible working hours

Shortened workdays every Friday

23 working days of vacation + birthday off

Performance-based bonus

Gym discounts

Team-building activities

Celebrations and off-sites

Formación

• 5+ years of data engineering experience, ideally in high-scale environments.
• Proven expertise in technologies like Spark, Airflow, Kafka.
• Strong ability to design and implement data models for analytics.

Responsabilidades

• Lead the definition and implementation of data governance policies.
• Design scalable data architectures to handle data volume.
• Collaborate with stakeholders to gather data requirements.

Conocimientos

Data Governance

Data Engineering

DevOps Principles

Data Analysis

Scalability

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.