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Senior data engineer

Shrewsbury
Stanford Black Limited
Data engineer
Posted: 4h ago
Offer description

Senior Data Engineer – Commodities Trading

Permanent | London (2–3 Days in Office) | Python / SQL / Alteryx / Data Governance


A global leader in commodities and energy trading is seeking a Senior Data Engineer to join its expanding Data Management function. This team sits at the heart of the trading operation, responsible for building, maintaining, and optimising the data pipelines and models that power critical front-office decision making. You’ll work closely with traders, quants, and analysts to deliver clean, high-quality datasets across power, gas, renewables, and derivative products — supporting one of the most data-rich trading environments in Europe. This is an opportunity to join a highly visible function that has seen significant investment in recent years, with the business scaling its Azure and analytics estate while embedding automation and governance best practice throughout its data stack.


Role Overview

* Develop and maintain scalable data pipelines and models in Python and SQL, feeding real-time and historical data to trading and research teams.
* Partner with front-office and technology stakeholders to translate business needs into robust, high-quality data products.
* Contribute to the design and operation of new data platforms as part of ongoing modernisation and migration initiatives.
* Embed data governance and quality practices into engineering processes — ensuring traceability, consistency, and control.
* Work on data transformation and automation initiatives, improving performance and scalability across datasets.
* Opportunity to utilise Alteryx for analytics automation (experience beneficial but not required).
* Gain exposure to a wide range of commodities and derivatives products in a fast-paced trading environment.


Key Requirements

* +4 years’ experience as a Data Engineer working with Python and SQL.
* Strong Python and SQL development skills – experience building large-scale ingestion pipelines and data models.
* Excellent understanding of ETL/ELT, data modelling, and best practices in data quality and validation.
* Data Governance experience across quality, validation, and security
* Strong communication and stakeholder engagement skills — able to work closely with business users.
* Bonus: Experience with Alteryx(or other data automation tooling), Azure, Kafka, or exposure to energy/commodities data environments.


Why Join?

* Join a highly collaborative, 12-person Data Management team working directly with the front office.
* Be part of a growing, well-funded data function that’s central to the firm’s technology strategy.
* Genuine opportunities for career progression into development, analytics, or product-focused roles.
* Enjoy a balanced working culture with strong retention, flexibility (2–3 days office), and real recognition of individual impact.
* Friendly, collaborative team culture with excellent retention and work-life balance.

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