Senior Data Engineer

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

Descripción de la vacante

Una empresa innovadora busca un Senior Data Engineer para diseñar y optimizar flujos de datos. En este rol, serás responsable de implementar soluciones de transformación de datos utilizando Databricks, Python y SQL, garantizando la seguridad y calidad de los datos. Trabajarás en un entorno ágil, colaborando con equipos para mejorar la gobernanza de datos y optimizar procesos de ingestión. Ofrecemos un entorno de trabajo virtual que promueve un equilibrio entre la vida laboral y personal, así como oportunidades de desarrollo profesional. Si te apasiona la tecnología y la innovación, esta es tu oportunidad.

Servicios

Oportunidades de desarrollo profesional

Flexibilidad laboral

Ambiente de trabajo positivo

Trabajo virtual primero

Formación

• 5+ años de experiencia en Databricks y procesamiento de big data.
• Experiencia práctica en Azure Data Lake (ADLS) para gestionar datos.

Responsabilidades

• Diseñar, desarrollar y optimizar flujos de trabajo de ETL utilizando Databricks.
• Colaborar con partes interesadas para definir marcos de gobernanza de datos.

Conocimientos

Python

SQL

Databricks

Data Governance

Problem-solving

Agile Environment

Herramientas

Azure Data Lake Storage (ADLS)

Azure Data Factory (ADF)

Data Cataloging tools

Descripción del empleo

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as Senior Data Engineer!

What do you need to fulfill this job?

• Design, develop, and optimize data pipelines and ETL workflows using Databricks.
• Implement data transformation and processing solutions in Databricks using Python and SQL.
• Ensure data security, governance, and compliance by following industry best practices.
• Work with Azure Data Lake Storage (ADLS) to efficiently store, manage, and process large datasets.
• Collaborate with stakeholders to define data governance frameworks and improve data quality.
• Integrate Azure Data Factory (ADF) pipelines where needed to support data ingestion and transformation processes.
• 5+ years of experience in Databricks and big data processing.
• Hands-on experience in Azure Data Lake (ADLS) for managing structured and unstructured data.
• Strong programming skills in Python and SQL.
• Understanding of Data Governance concepts, including data quality, metadata management, and security policies.
• Experience in performance tuning and optimization of data pipelines.
• Familiarity with Azure Data Factory (ADF) is a plus.
• Strong problem-solving skills and ability to work in an agile environment.

What is a plus?

• Experience with Data Cataloging tools (e.g., Azure Purview, Alation, or Collibra).
• Knowledge of CI/CD pipelines for data engineering.

About HCLTech:

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering, and Cloud.

If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity.

Why Us?

• We offer end-to-end digital transformation expertise that helps clients from strategy through execution.
• We are invested in your growth, offering learning and career development opportunities at every level.
• We offer freedom and flexibility on the job, empowering our employees to make decisions.
• We offer a virtual-first work environment, promoting a good work-life balance and real flexibility.
• We are a certified great place to work and a top employer in 25 countries, offering a positive work environment that values employee recognition and respect.

If you have a valid disability certificate, please contact us.

HCL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable laws, regulations, and ordinances.