Senior Data Engineer

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

Descripción de la vacante

A pioneering company in the Marketing sector seeks a Senior Data Engineer to lead data governance and technical projects. The role includes ensuring data architecture efficiency, mentoring team members, and collaborating across departments to derive actionable insights. Offering full remote work, flexible hours, and various benefits, this opportunity is ideal for those seeking both challenge and leadership role within cutting-edge technology.

Servicios

Flexible working hours

Shortened workdays every Friday

23 vacation days + birthday off

Performance-based bonus

Team-building activities

Formación

• 5+ years experience in data engineering in high-scale environments.
• Proven expertise in data technologies like Spark, Kafka, Snowflake.
• Ability to design data models for analytics and machine learning.

Responsabilidades

• Lead data governance policies for quality and security.
• Collaborate with stakeholders on data requirements and solutions.
• Participate in data analysis and improve data pipelines.

Conocimientos

Data Governance

Data Architecture

Data Exploration

Stakeholder Collaboration

DevOps Principles

Communication

Educación

5+ years of experience in data engineering

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

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.
• 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.