Senior Data Engineer

buscojobs España; Cáceres; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Ein zukunftsorientiertes Unternehmen sucht einen Senior Data Engineer, der für die Gestaltung und Implementierung skalierbarer Dateninfrastrukturen verantwortlich ist. Diese spannende Rolle umfasst die Entwicklung effizienter Datenpipelines, die Sicherstellung der Datenqualität und die Zusammenarbeit mit verschiedenen Teams zur Unterstützung von Analyse- und Business-Intelligence-Initiativen. In einem internationalen und multikulturellen Umfeld haben Sie die Möglichkeit, Ihre technischen Fähigkeiten kontinuierlich zu verbessern und an lokalen sowie internationalen Tech-Events teilzunehmen. Wenn Sie leidenschaftlich an Daten und Innovation interessiert sind, ist dies die perfekte Gelegenheit für Sie.

Servicios

Flexible compensation

Private medical insurance

Day off on your birthday

Gifts for special occasions

International and multicultural environment

Free week-long accommodation annually

Formación

• Erfahrung in der Entwicklung von Software mit Python und PySpark.
• Kenntnisse in der Implementierung von Datenlösungen mit Data Lakes und Data Warehouses.

Responsabilidades

• Entwicklung und Implementierung robuster, skalierbarer Datenpipelines.
• Zusammenarbeit mit funktionsübergreifenden Teams zur Erfüllung von Datenanforderungen.

Conocimientos

Python

PySpark

Big-Data Technologien

Cloud Computing

RDBMS Entwicklung

Distributed Systems

Problem solving

Analytical Skills

Communication Skills

Mentoring

Educación

Bachelor in Informatik

Master in Informatik

Herramientas

Apache Spark

Azure Data Factory

Apache Airflow

DBT

Descripción del empleo

At Principal33 we strive to make happiness at work a reality. Because it's not just about the money, it's also about the work environment and appreciation. It's about creating the best team setup you can imagine and getting involved in the things you're passionate about. And you can be a part of it, because it's fun to get things done!

We want our employees to innovate and we allow them to do what they are truly passionate about. Based on this conviction, Principal33 aligns its strategy around its vision: to become a leading IT service company and a better working-life balance. With currently around 200 employees from different countries, we are actively shaping the future of work.

Your responsibilities:

The Senior Data Engineer is responsible for designing, implementing, and maintaining scalable data infrastructure to support data analytics and business intelligence needs, ensuring data reliability, efficiency, and quality across the organization. Reporting to the Engineering Manager.

Major / Key Accountabilities:

1. Design and Development of Data Solutions: Lead the design, development, and implementation of robust, scalable, and efficient data pipelines and architectures to support analytics and business intelligence initiatives.
2. Data Quality and Integrity: Ensure data accuracy, consistency, and reliability by establishing and enforcing data quality standards and procedures.
3. Performance Optimization: Optimize data systems and processes for performance and scalability to handle large volumes of data efficiently.
4. Collaboration with Stakeholders: Collaborate with cross-functional teams, including data scientists, analysts, and business leaders, to understand data needs and deliver effective data solutions.
5. Innovation and Strategy: Contribute to the data strategy by identifying and implementing new technologies and methodologies to improve data infrastructure and capabilities.
6. Mentoring and Leadership: Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement.

Qualifications:

1. Profound knowledge about Cloud Computing
2. Profound knowledge of Big-Data technologies
3. Profound knowledge and experience in RDBMS development
4. Profound knowledge about distributed systems and applications

Desirable Qualifications:

1. Good knowledge about Data Visualization tooling

Experience:

1. Experience developing software with Python and PySpark
2. Extensive experience with Apache Spark runtimes (e.g. Databricks)
3. Experience with Workflow Orchestrators (e.g. Azure Data Factory or Apache Airflow)
4. Proven track record in designing and implementing data solutions using Data lakes and Data warehouses (e.g. Azure Blobs and Azure Synapse or similar)
5. Strong background in building Data Semantic Layers (e.g. Bronze, Silver, Gold) with tooling like DBT or similar
6. Experience working in agile scrum teams
7. Mentoring of new team members

Skills and Knowledge:

1. Ability to lead and drive multiple priorities
2. Ability to find creative solutions for business and technical challenges
3. Profound knowledge about Cloud Computing
4. Profound knowledge of Big-Data technologies
5. Profound knowledge and experience in RDBMS development
6. Profound knowledge about distributed systems and applications
7. Strong research skills, problem solving and analytical ability
8. Enhanced presentation, negotiation, and communication skills – both written & oral
9. Ability to develop strong business relationships across all levels of the business
10. Able to reach a quick understanding of customer requirements, accurately interpret underlying needs, and change drivers
11. Fluid in speaking and writing in English language (must)

What we offer:

Way of working: remote 100%

Unless you would like to join us at our beautiful office in Valencia and work hybrid.

1. Flexible compensation
2. Private medical insurance
3. Day off on your birthday
4. Gifts for special occasions
5. International and multicultural environment
6. A free week-long accommodation annually at our corporate apartment close to Valencia, Spain (subject to availability)

Events:

Summer party!

Self-Development:

Continuous training, we will help you improve your technical skills, evolve in the tech community and develop as a professional.

We are an active part of the tech community. You may have the opportunity to attend and participate in local and international tech events.