Senior Data Engineer XEQ-702

Amaris Consulting; Marbella; A distancia; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Una empresa internacional de consultoría busca un Ingeniero de Datos Senior para diseñar y optimizar arquitecturas de datos utilizando tecnologías modernas en la nube. Se requiere experiencia en Python, SQL, y herramientas como Spark y Kafka. Ofrecemos un entorno dinámico con oportunidades de crecimiento, formación personalizada y beneficios sociales excelentes.

Servicios

Oportunidades de crecimiento personal

Entrenamiento en habilidades tecnológicas

Políticas flexibles de trabajo remoto

Beneficios sociales

Formación

• Más de 6 años de experiencia.
• Experiencia en integración de modelos de aprendizaje automático.
• Conocimiento de las herramientas modernas de orquestación.

Responsabilidades

• Diseñar y optimizar arquitecturas de datos.
• Automatizar procesos ETL/ELT.
• Colaborar con equipos multifuncionales.

Conocimientos

Python avanzado

SQL avanzado

Experiencia con Java

Experiencia con Scala

Proficiencia en AWS

Proficiencia en Azure

Spark

Hadoop

Kafka

Apache Airflow

Talend

Snowflake

BigQuery

TensorFlow

Scikit-learn

Power BI

Tableau

Docker

Kubernetes

Descripción del empleo

Take your career to the next level with Amaris Consulting as a

Senior Data Engineer.

Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will work with modern cloud and big data technologies to support advanced analytics and machine learning integration. Your role will be key in ensuring high data quality, governance, and performance to drive business impact.

️WHAT WOULD YOU NEED? ️ +6

years of experience. Languages:

Advanced Python and SQL; working experience with Java or Scala. Cloud Platforms:

Proficiency with AWS or Azure (e.g., S3, Lambda, Redshift, ADF, Synapse). Big Data Technologies:





Hands-on with Spark, Hadoop, Kafka. ETL/Workflow Tools:

Experience with Apache Airflow, Talend, or similar. Databases:

Strong experience with relational, NoSQL, and data warehouse systems (e.g., Snowflake, BigQuery). Machine Learning Integration:

Experience embedding ML models using frameworks like TensorFlow, Scikit-learn, or PyTorch. DevOps:

Knowledge of containerization (Docker, Kubernetes) and CI/CD tools (e.g., Jenkins, GitLab CI). Visualization:

Proficient in Power BI or Tableau for dashboarding and reporting. Data Governance:

Understanding of security, compliance (e.g., GDPR), and best practices in data handling.

AND IF IN ADDITION...

Cloud (AWS, Azure), data tools, or Agile methodology certifications, will be a plus.

WHAT WILL YOU BE DOING? Design, develop, and optimize

scalable and secure data pipelines and architectures. Automate

ETL/ELT

processes using modern orchestration tools (e.g., Apache Airflow, Talend). Integrate machine learning models into data workflows in collaboration with

Data Science teams. Ensure

data quality,



traceability, governance, and security across systems. Collaborate with cross-functional teams including

BI, Data Science, and business units. Create

clear documentation and communicate effectively with technical and non-technical stakeholders.

WHY US??

Join our dynamic team of talented people and discover a world full of growth and opportunity. Here's what we offer:

- Rapid growth through a personalised career path and salary assessment. 70% of our senior leaders started in entry-level positions. - Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops. - Take control of your training with a personal annual budget and company-paid certifications. - Enjoy flexible policies,



remote work options and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance. - Benefit from our WeCare programme, which supports employees in critical situations. - Unlock your full potential, both professionally and personally.

Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics.

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