Hybrid Data Engineer: Python, ETL & Dagster Pipelines

Hybrid Data Engineer: Python, ETL & Dagster Pipelines

Full-Time 60000 - 60000 Β£ / year (est.) No working from home possible
VirtueTech Recruitment Group

At a Glance

  • Tasks: Design and build scalable data pipelines using Python and Dagster.
  • Company: Join a leading global financial services platform in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for growth.
  • Other info: Dynamic team environment with a focus on performance and data quality.
  • Why this job: Make an impact by unifying data across trading, operations, and finance.
  • Qualifications: Experience in Python, ETL, and workflow orchestration tools like Dagster.

The predicted salary is between 60000 - 60000 Β£ per year.

Virtue Tech Recruitment Group is hiring a Data Engineer for a leading global financial services platform in London.

You will design and build scalable data pipelines using Python and Dagster to ingest and unify data across trading, operations, and finance.

The role focuses on Python development, ETL, and modern workflow orchestration with Dagster (or Airflow/Prefect), with emphasis on performance, observability, and data quality.

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Hybrid Data Engineer: Python, ETL & Dagster Pipelines employer: VirtueTech Recruitment Group

At VirtueTech Recruitment Group, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team members enjoy flexible working arrangements, opportunities for professional growth, and the chance to make a significant impact through their work on large-scale applications. Located near Manchester, our office provides a vibrant environment where creativity thrives, making it an ideal place for passionate Mobile Engineers to advance their careers.

VirtueTech Recruitment Group

Contact Details:

VirtueTech Recruitment Group Recruitment Team

We think you need these skills to ace Hybrid Data Engineer: Python, ETL & Dagster Pipelines

Python
SQL
Problem-Solving Skills
Data Pipeline Development
Data Engineering
API Integration
ETL/ELT Processes