Senior Data Engineer

UMATR; Madrid; Presencial; EUR 45.000 - 85.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior Data Engineer to lead the development of a robust data infrastructure. This role involves designing scalable solutions, managing key data pipelines, and collaborating with stakeholders to drive the vision for advanced data initiatives. The ideal candidate will possess strong technical expertise in programming languages such as Python and Java, along with proficiency in SQL and cloud platforms like Google BigQuery. Join this dynamic team to foster a data-driven culture and empower teams with actionable insights, while also mentoring junior engineers in best practices. If you are passionate about data and eager to make a significant impact, this opportunity is for you.

Formación

• 5+ years of experience in data engineering with a relevant degree.
• Strong skills in Python, SQL, and cloud-based data platforms.

Responsabilidades

• Design and manage data infrastructure for analytics.
• Mentor junior team members and promote data-driven culture.

Conocimientos

Python

Java

SQL

Problem-solving

Communication Skills

Mentoring

Agile / Scrum

Data Quality Automation

Educación

Bachelor in Computer Science

Degree in Information Systems

Herramientas

Google BigQuery

MySQL

Apache Airflow

Spark

Google Cloud Platform

Tableau

Git

Descripción del empleo

6 days ago Be among the first 25 applicants

Focusing on staffing professionals within the Data, AI & ML space.

About the Role

As a Senior Data Engineer, you will be at the forefront of building and optimising a robust data infrastructure that supports analytics and advanced insights across the organisation. Your role will involve shaping the strategic direction of the data platform, ensuring it evolves to meet business needs. This position requires a blend of deep technical expertise, strategic thinking, and strong communication skills. You will play a crucial role in fostering a data-driven culture by developing systems that empower teams with accurate, reliable, and actionable data.

Key Responsibilities:

1. Design, develop, and manage key data infrastructure that powers analytics across the business.
2. Partner with stakeholders to understand business needs, design scalable solutions, and define project roadmaps.
3. Drive the vision and long-term strategy for the data platform, ensuring it aligns with the company’s advanced data initiatives.
4. Balance technical feasibility with business priorities when planning and delivering projects.
5. Build and maintain data pipelines that enable high-quality analytics and insights.
6. Mentor and support junior team members, sharing best practices in data engineering and security.
7. Promote data-driven decision-making across the organisation.

Required Skills & Experience:

1. 5+ years of relevant experience, with a degree in Computer Science, Information Systems, or a related field.
2. Strong English communication skills, with the ability to simplify complex technical concepts for non-technical audiences.
3. Proficiency in Python, Java, or similar programming languages.
4. Strong SQL skills, with experience using Google BigQuery, MySQL, or other database technologies.
5. Hands-on experience in designing and managing cloud-based data platforms.
6. Proven ability to develop and maintain ETL / ELT pipelines independently.
7. Excellent problem-solving skills and a proactive approach to challenges.
8. A collaborative mindset, with a passion for mentoring and knowledge-sharing.
9. Experience with tools such as Apache Airflow, Spark, Iceberg, Google BigQuery, and Google Cloud Platform.
10. Familiarity with Git or other version control systems.
11. Experience working in Agile / Scrum environments.
12. Knowledge of data quality automation and governance.
13. Experience with business intelligence tools such as Tableau or similar platforms.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Industries: Software Development