​Location: London (2-3 days/week)

Salary: £80,000 - £100,000 + Bonus DOE

The Green Recruitment Company are delighted to be working with one of the biggest renewable energy producers and solutions providers in Europe in their search for a skilled Senior Data Engineer/Data Manager to play a significant role in their digitalisation and data-centric growth.

As a key member of the Trading Software team, you would have the exciting opportunity to develop an original framework that enables the Origination & Trading team to meet their strategic goals – using large-scale data sets.

This individual would be providing data handling & development expertise to a range of internal teams (including traders and analysts), so experience and a proven ability to work with large-scale data in commodity/energy trading markets is essential - ideally using Python.

Key responsibilities:

• Ensuring the Origination & Trading (O&T) team’s data sets are genuine and accurate and create new processes of data testing as required.

• Execute effective and secure procedures for data handling and analysis and provide support to internal teams when data sets are missing or incorrect.

• Employ best practices when organising and cleaning data and report any missing data.

• Analyse data systems and assets for O&T and assess performance, suggesting ways to become more effective.

• Oversee O&T’s existing data sets and procedures.

• Analyse end-user requirements, ensuring their needs are met.

• Co-ordinate, prioritize and ensure operationalization of data to production systems as and when required.

• Collaborate with Data Vendor Management regarding data sourcing, extraction and reporting as needed.

• Ensure data usage and management protocols are within legal and company requirements.

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Required attributes:

• Python expertise (data-related packages such as pandas & NumPy is a big plus).

• Experience working in commodity/energy trading markets.

• Proven ability to manage and store large-scale data in commodity/energy trading markets.

• Programming experience in Spark, SQL, and API development.

• Strong data pipeline engineering skills & Database Architecture understanding.

• Relevant academic background – within a STEM, analytical, or financial subject.

• Ability to collaborate across different functions and communicate effectively.