Data Engineer - Valencia province
Features
- Where:
Valencia province
- Job Type:
Employee - Permanent
- Job Status:
Full-time
- Salary:
- Work Location:
Office/On-site
- English:
Advanced
- Spanish:
Basic
Advertiser Note:
The job vacancy is in our company/business
Description
Requirements
- 3+ years of experience as a Data Analyst / Quant Analyst / Risk Analyst.
- Strong proficiency in Python (pandas, numpy, pyarrow, SQLAlchemy).
- Deep knowledge of SQL (analysis, aggregation, window functions).
- Experience with BI tools (Tableau, Grafana).
- Scripting experience in Python for automation and report integration.
- Solid understanding of trading principles, margining, VaR, and risk models.
- Proven ability to work with large-scale datasets (millions of rows, low-latency environments).
- Experience working with technical teams to deliver business-oriented analytics.
Responsibilities
- Build and maintain analytics for PnL, risk, and positions.
- Monitor key performance and risk metrics.
- Develop and optimise ETL/ELT pipelines (both batch and real-time).
- Configure and enhance BI dashboards (Tableau, Grafana).
- Support alerts and anomaly detection mechanisms.
- Work with internal databases, APIs, and streaming data pipelines.
- Collaborate closely with risk, engineering, and operations teams.
- Contribute to the development of the analytics platform: from storage to visualisation.
Apply for this Job
Features
- Where:
Valencia province - Job Type:
Employee - Permanent - Job Status:
Full-time - Salary:
- Work Location:
Office/On-site - English:
Advanced - Spanish:
Basic
Advertiser Note:
The job vacancy is in our company/business
Description
Requirements
- 3+ years of experience as a Data Analyst / Quant Analyst / Risk Analyst.
- Strong proficiency in Python (pandas, numpy, pyarrow, SQLAlchemy).
- Deep knowledge of SQL (analysis, aggregation, window functions).
- Experience with BI tools (Tableau, Grafana).
- Scripting experience in Python for automation and report integration.
- Solid understanding of trading principles, margining, VaR, and risk models.
- Proven ability to work with large-scale datasets (millions of rows, low-latency environments).
- Experience working with technical teams to deliver business-oriented analytics.
Responsibilities
- Build and maintain analytics for PnL, risk, and positions.
- Monitor key performance and risk metrics.
- Develop and optimise ETL/ELT pipelines (both batch and real-time).
- Configure and enhance BI dashboards (Tableau, Grafana).
- Support alerts and anomaly detection mechanisms.
- Work with internal databases, APIs, and streaming data pipelines.
- Collaborate closely with risk, engineering, and operations teams.
- Contribute to the development of the analytics platform: from storage to visualisation.