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Data Engineering Lead

beBeeDataEngineering

Barcelona

A distancia

EUR 60.000 - 80.000

Jornada completa

Ayer
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading data technology company in Barcelona is seeking a Senior Data Engineer to design and optimize data pipelines. The role involves overseeing data models, warehouses, and implementing data governance. Ideal candidates have over 3 years of experience with strong Python and SQL skills, as well as expertise in cloud platforms. This position offers flexible working hours and opportunities to work on innovative projects.

Servicios

Flexible working hours
Opportunity to work on cutting-edge projects
Collaborative and dynamic work environment

Formación

  • 3+ years of experience in Data Engineering or similar roles.
  • Strong proficiency in Python and SQL.
  • Experience with cloud platforms like AWS and GCP.

Responsabilidades

  • Design and build scalable ETL/ELT pipelines.
  • Develop and maintain data models, warehouses, and data lakes.
  • Implement data quality and governance frameworks.

Conocimientos

Strong Python skills
SQL skills
Experience with cloud platforms
Knowledge of big data tools

Herramientas

Airflow
dbt
Snowflake
Redshift
BigQuery
Docker
CI/CD
Terraform

Descripción del empleo

We are looking for a highly skilled Senior Data Engineer to join our team. In this role, you will design and optimize data pipelines, ensure data integrity, and empower data-driven decisions across the organization.As a Senior Data Engineer, your primary responsibility will be to oversee the development and maintenance of data models, warehouses, and data lakes. You will work closely with cross-functional teams to identify business requirements and design scalable ETL / ELT pipelines. Additionally, you will implement data quality and governance frameworks, optimize pipeline performance, and ensure data security, documentation, and compliance.Key Responsibilities :

Design and build scalable ETL / ELT pipelinesStructure and transform raw data using in-house toolsDevelop and maintain data models, warehouses, and data lakesImplement data quality and governance frameworksEnsure data security, documentation, and complianceRequirements :

3+ years of experience in Data Engineering or similar rolesStrong Python and SQL skillsExperience with cloud platforms (AWS, GCP)Proficiency with modern data stacks (Airflow, dbt, Snowflake, Redshift, BigQuery)Knowledge of big data tools (Spark, Kafka) and DevOps practices (Docker, CI / CD, Terraform)Benefits :

Flexible working hours and remote optionsOpportunity to work on cutting-edge projectsCollaborative and dynamic work environmentJ-18808-Ljbffr

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