Build the data products that front office traders and management use to make decisions.
This team runs front office data for an energy trading business. You'll take market data and fundamental data, bring in internal data like positions, trades and PnL, and turn it all into data products. Sometimes that's a dataset, sometimes it's a visualisation.
Historically a lot of the visualisation work was done in Tableau. More recently the team has moved to interactive tools like Plotly Dash and Streamlit. So although the title says senior data engineer, this could also suit a python developer. It's full stack in some respects, and the data engineering sits alongside that.
Stakeholders are a big part of the job. You'll deal with risk, trading and management, usually in small, regular pieces of work, so you need to be comfortable talking to them and working out what they need.
You'll have a solid data focus, with some SQL or data engineering behind you. It doesn't have to be your main strength, but it matters. UI experience would be really nice to have, or if you've worked with the likes of React or Angular.
If you've worked in trading, 3-5 years is the sort of background that fits. Coming from outside trading, you'd need 5+ years and a history of building UIs.
There's scope to be promoted to a higher rank here, including up to principal.
Would you like to build front office data products in Python for a trading desk?
Data Engineer - Energy Trading - up to £90k base employer: Saragossa
Saragossa is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. As a member of our team, you'll enjoy meaningful growth opportunities while working on cutting-edge ML-driven projects that directly impact our research platform. With a focus on real ownership and a clean-slate environment, we empower our employees to turn ideas into actionable strategies, making your contributions truly valuable.
