Senior Data Engineer | Remote | Spain

buscojobs España; Palencia; 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 initiatives and drive best practices in a fully remote environment. The role requires expertise in advanced data technologies and significant experience in engineering and team mentorship, offering flexible working hours and competitive vacation days. Join a team that values innovation and collaboration to enhance their digital solutions.

Servicios

Flexible working hours

Shortened workdays on Fridays

23 working days of vacation + your birthday off

Performance-based bonus

Team-building activities

Formación

• 5+ years of experience in data engineering.
• Proven expertise in data technologies and cloud platforms.
• Strong communication skills and experience mentoring teams.

Responsabilidades

• Lead data governance policy definition and implementation.
• Collaborate with stakeholders to gather requirements.
• Optimize data pipelines based on exploratory analysis.

Conocimientos

Data Governance

Data Architecture

Stakeholder Collaboration

Data Analysis

CI/CD

Cloud Platforms

Data Technologies

Mentorship

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.

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