Work on a greenfield data project for one of the world’s leading energy organisations, leveraging data points across energy sources to enable their trading team to make decisions & drive success.
We’re looking for a Senior Data Engineer to join a brand-new team in a leading Energy Trading Company, to take forward their migration from legacy data systems to create a future-proof data ingestion & storage solution focused on scalability.
This is a top-paying industry, and anyone joining at this stage would be positioning themselves for high remuneration in future.
This role is perfect for:
– Senior Data Engineers that want to work in one of the world’s rapidly expanding fields, the world of energy trading is a fascinating one, with all manner of unique technical challenges. This is not far removed from hedge funds and can be a difficult space to break into. This is an opportunity to do so and maximise your earning potential in the long run.
– Senior Data Engineers that want to work on a greenfield data project which will have a major impact within a top organisation in their field.
– Senior Data Engineers that want to expand their skillset in Artificial Intelligence & Machine Learning as applied to algorithmic trading in an environment where billions in currency are hinging on every trading decision.
For technology, they’re employing Python, Airflow, Great Expectations, and Docker – hosted in Azure.
Working within a flat team structure – the person going in now will have a lot of space to make decisions and influence the direction of the project as it continues to scale, working alongside other engineers as they transform the way data is handled!
In addition to this, the data team has been set up as a separate division to the larger IT function, with the purpose being to allow them greater freedom & flexibility in the way that they do things – removing some of the pesky bureaucracy that can accompany decision making in larger organisations.
We’re looking for:
– Experience working with Python in building data pipelines.
– Knowledge of typical data storage solutions e.g. relational databases.
This role is London based, looking for two days per week in the office (flexible) and is paying up to 90k per annum.
If this role’s of interest, please apply now for more information.
#J-18808-Ljbffr
