Vigil
Senior Data Engineer (AWS to GCP)
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado18 jun 2026
Países elegibles2 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
BrasilPortugal
Resumen del rol
Senior Data Engineer (AWS to GCP)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
WHAT WILL YOU BE DOING:
- Design, build, and maintain scalable data pipelines and data products on GCP.
- Support migrating existing AWS-based workloads to GCP environments.
- Develop and optimise ETL/ELT workflows using Python, SQL, and PySpark.
- Build and maintain transformations using BigQuery and Dataproc.
- Create and manage orchestration workflows using Composer (Airflow).
- Implement and improve data quality validation frameworks.
- Work closely with analysts, product stakeholders, and other engineering teams to understand business requirements and deliver reliable data solutions.
- Participate in code reviews, technical discussions, and continuous improvement initiatives.
- Contribute to platform reliability, monitoring, and operational excellence.
- Maintain clear technical documentation and knowledge sharing across the team.
WHAT WE ARE LOOKING FOR:
- Strong commercial experience as a Data Engineer working with cloud-based data platforms.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Experience building data solutions using BigQuery.
- Experience developing and maintaining Airflow pipelines (Composer preferred).
- Strong Python and SQL skills.
- Experience with PySpark and large-scale data processing.
- Understanding of data modelling and modern ETL/ELT practices.
- Experience working with Git-based development workflows.
- Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.
- Experience working within Agile delivery environments.
AWESOME BUT NOT REQUIRED:
- Experience with Dataproc.
- Experience with Dataplex.
- Experience implementing data quality frameworks such as Great Expectations.
- Previous experience with AWS services such as S3, MWAA (Airflow), or Databricks.
- Experience supporting cloud migration projects.
- Experience working within media, streaming, or large-scale consumer platforms.
WHAT’S IN IT FOR YOU?
- Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture
- A culture in which we don’t criticise failure but ensure we learn from our mistakes
- An Agile environment where your ideas are welcome
- The possibility to grow and experience different projects
- Ongoing Training & Mentoring
- The possibility of travelling
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