Senior Data Engineer - Real-Time Pipelines & Dashboards

E1 Edf Trading Ltd; England; Ibrido; GBP 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

E1 Edf Trading Ltd in London seeks a hands-on Senior Data Engineer to accelerate delivery of high-value data products for the front office. You will work with Python fundamentals, data orchestration, and real-time visualisations to support trading decisions and critical business processes.

The role requires strong Python/SQL, experience with Airflow, Dagster, Prefect, and UI tooling like Plotly Dash or Streamlit, plus DevOps exposure. Hybrid work with 3 days in the office is expected.

Competenze

• Strong Python and SQL experience.
• Experience with data orchestration tools such as Airflow, Dagster, or Prefect.
• Experience designing database schemas and ORM models (SQLAlchemy).
• SQL performance tuning and optimisation.
• Experience with Python UI/dashboard tools (Plotly Dash or Streamlit).
• DevOps experience (CI/CD, Azure DevOps or similar).
• Strong communication skills with business and technical stakeholders.

Mansioni

• Build and maintain data pipelines integrated with trading workflows and monitor data quality.
• Collaborate with front office stakeholders to translate needs into technical tasks.
• Contribute to architectural decisions for pipelines and systems.
• Design and optimise database schemas and ORM models.
• Create real-time visualisations using streaming tech and dashboards.

Conoscenze

Python

SQL

Data orchestration

UI dashboards

Communication

Strumenti

Airflow

Dagster

Prefect

SQLAlchemy

Plotly Dash

Streamlit

Docker

Kubernetes

Azure DevOps

Descrizione del lavoro

E1 Edf Trading Ltd in London seeks a hands-on Senior Data Engineer to accelerate delivery of high-value data products for the front office. You will work with Python fundamentals, data orchestration, and real-time visualisations to support trading decisions and critical business processes.

The role requires strong Python/SQL, experience with Airflow, Dagster, Prefect, and UI tooling like Plotly Dash or Streamlit, plus DevOps exposure. Hybrid work with 3 days in the office is expected.