Senior Full-Stack Data Engineer

Huxley; Rotterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Huxley seeks an interim professional to design and deliver end-to-end data solutions for energy trading, including scalable ingestion pipelines, ETL workflows, and data models. You will collaborate with engineers, quants and traders to enable portfolio management, market analytics and algorithmic trading.

The role focuses on producing reliable, scalable and maintainable data solutions, with handover packages and documentation to empower responsible teams after completion.

Qualifications

• Experience with building scalable ingestion pipelines and ETL workflows.
• Ability to design production-ready data solutions for energy and market data.
• Knowledge of data governance, reliability, performance, and data quality standards.
• Ability to collaborate with engineers, quants, and traders.

Responsibilities

• Document and deliver a scalable ingestion design for energy/market data sources.
• Develop and test data pipelines meeting reliability, performance, data quality, and governance standards.
• Create efficient data models supporting portfolio management, analytics, modelling, and trading use cases.
• Provide operational databases/interfaces usable by trading data teams.
• Prepare handover docs, including tests, deployment instructions, monitoring and improvements.

Skills

Spark

DataBricks

Job description

We are developing reliable and scalable data solutions for energy trading. This assignment addresses the need to strengthen the data platform that supports portfolio management, market analytics, market modelling and algorithmic trading. The interim professional will use independent expertise to design and deliver end-to-end solutions in coordination with engineers, quants, traders and relevant stakeholders. The work contributes to informed trading decisions and supports a secure, sustainable and economically viable energy system.

What you will deliver

• A documented and production-ready design for scalable ingestion pipelines and ETL workflows for relevant energy and market data sources.
• Implemented and tested data pipelines that meet agreed standards for reliability, performance, data quality and governance.
• Efficient data and information models that support portfolio management, market analytics, market modelling and algorithmic trading use cases.
• Operational databases and interfaces that make the agreed models usable within the trading data landscape.
• A clear handover package, including technical documentation, automated tests, deployment instructions, monitoring and agreed improvement recommendations.

The assignment is successful when the agreed solutions are demonstrably reliable, scalable and maintainable, are accepted against defined technical criteria, and can be operated by the responsible teams without dependency on the interim professional.

About the assignment

We are developing reliable and scalable data solutions for energy trading. This assignment addresses the need to strengthen the data platform that supports portfolio management, market analytics, market modelling and algorithmic trading. The interim professional will use independent expertise to design and deliver end-to-end solutions in coordination with engineers, quants, traders and relevant stakeholders. The work contributes to informed trading decisions and supports a secure, sustainable and economically viable energy system.

What you will deliver

• A documented and production-ready design for scalable ingestion pipelines and ETL workflows for relevant energy and market data sources.

• Implemented and tested data pipelines that meet agreed standards for reliability, performance, data quality and governance.

• Efficient data and information models that support portfolio management, market analytics, market modelling and algorithmic trading use cases.

• Operational databases and interfaces that make the agreed models usable within the trading data landscape.

• A clear handover package, including technical documentation, automated tests, deployment instructions, monitoring and agreed improvement recommendations.

The assignment is successful when the agreed solutions are demonstrably reliable, scalable and maintainable, are accepted against defined technical criteria, and can be operated by the responsible teams without dependency on the interim professional.

Desired Skills and Experience

Spark, DataBricks