Senior Data Engineer: Cloud Lakehouse & AI Analytics

Jobtailor

London

Sur place

EUR 90 000 - 130 000

Plein temps

Il y a 3 jours
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Résumé du poste

Jobtailor is seeking an experienced Data Engineer to design, build, and modernize data platforms that empower analytics and reporting. You will work in an agile data team, crafting scalable data lake/lakehouse solutions and real-time pipelines in AWS/Azure environments.

You will implement transformations with dbt, orchestrate pipelines with Airflow, and contribute to AI-enabled analytics with Power BI and QuickSight. Strong focus on data quality and deployment automation.

Qualifications

  • 5+ years of experience in data engineering and scalable data architectures.
  • Experience building modern data lake/lakehouse architectures in cloud environments.
  • Strong knowledge of AWS or Azure data services and ETL/ELT processes.
  • Proficiency with data transformation tools like dbt and orchestration with Airflow.

Responsabilités

  • Design and build innovative data solutions within an agile data engineering team.
  • Modernize the data platform to enhance reporting, analytics, and decision making.
  • Develop and maintain data products across on-premises and cloud environments.
  • Build scalable data lake/lakehouse architectures and real-time processing pipelines.
  • Automate data engineering processes with CI/CD and optimize ETL/ELT flows.

Connaissances

Data Engineering
Data Lake/Lakehouse Architecture
Cloud Data Services
ETL/ELT
Dbt
Apache Airflow
CI/CD
Data Quality
Generative AI
Java

Outils

Apache Iceberg
AWS S3
AWS Redshift
Azure Data Services
Open Metadata
Power BI
Amazon QuickSight

Description du poste

Jobtailor is seeking an experienced Data Engineer to design, build, and modernize data platforms that empower analytics and reporting. You will work in an agile data team, crafting scalable data lake/lakehouse solutions and real-time pipelines in AWS/Azure environments.

You will implement transformations with dbt, orchestrate pipelines with Airflow, and contribute to AI-enabled analytics with Power BI and QuickSight. Strong focus on data quality and deployment automation.

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