Senior Data Engineer | Remote | Spain

Talent-R; Albacete; A distancia; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A pioneering company in the Marketing sector is seeking a Senior Data Engineer. The role involves leading data governance, collaborating with stakeholders, and optimizing data pipelines. The position is fully remote, offers flexible hours, and includes benefits like extra vacation days and a performance-based bonus.

Servicios

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

Formación

• 5+ years in data engineering, preferably in large-scale environments.
• Expertise in data technologies like Spark and Snowflake.
• Experience with DevOps principles applied to data pipelines.

Responsabilidades

• Lead data governance initiatives and ensure compliance.
• Collaborate with stakeholders for data requirements and solutions.
• Participate in data analysis to identify patterns and optimize pipelines.

Conocimientos

Data Governance

Data Exploration

Technical Leadership

Communication Skills

Data Quality

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.