How do you build a data platform that can deliver pricing decisions in under a minute, support machine learning models and still provide accurate, auditable data for financial reporting?
These are some of the challenges facing the data team at tem, a technology company building new infrastructure for the energy market.
Join Data Science Festival and tem at Battersea Power Station for an evening exploring the real world engineering challenges behind building and scaling a modern data platform.
We’ll hear how tem’s data function has evolved from Google Sheets to a modern technology stack featuring ClickHouse, dbt, Omni and AWS, including the technical decisions, challenges and lessons learned along the way.
We’ll then bring together practitioners from across data engineering, analytics and machine learning for a panel discussion exploring how to balance speed, accuracy and reliability when different teams depend on the same underlying data. Expect practical insights, candid conversations and an opportunity to connect with fellow data professionals over food and drinks.
EVENING SCHEDULE
6:00 PM – Doors open, food, drinks and networking
6:45 PM – Welcome from Data Science Festival
6:50 PM – Keynote session
7:20 PM – Short break
7:30 PM – Panel discussion
8:10 PM – Drinks and networking
9:00 PM – Event close
KEYNOTE SESSION
Tim Renton, Head of Data @ tem
From Google Sheets to Sub-Minute Pricing: Lessons in Scaling a Data Platform
When you’re building the data function at a growing technology company, how do you know which foundations to invest in, which shortcuts are worth taking and when it’s time to rethink your approach?
At tem, the data platform has evolved from Google Sheets to a modern stack supporting complex energy transactions, with pricing decisions delivered in under a minute.
In this session, Tim Renton, Head of Data at tem, shares the journey of building and scaling the data function, including the architectural decisions, technical challenges and lessons learned along the way.
We’ll explore how the team’s approach to data engineering, analytics and infrastructure has evolved as the business has grown, the trade-offs involved in balancing speed with reliability, and what Tim would do differently if he were starting again.
An opportunity to learn from the real-world experience of building a data platform in a scaling technology business, including the things that didn’t quite go to plan.
PANEL SESSION
Speed vs Accuracy: The Hidden Trade Offs of Modern Data Engineering
What happens when the same data needs to support real time decisions, financial reporting, machine learning and regulatory compliance, all with different expectations around speed, accuracy and reliability?
At tem, these aren’t hypothetical challenges. The data platform supports energy pricing decisions in under a minute while also providing the consistent, reconciled and auditable information required across the wider business.
Bringing together practitioners from across data engineering, machine learning and analytics, this panel explores the technical and organisational challenges of building a shared data platform that works for everyone.
We’ll explore questions including:
How do you balance low latency requirements with data quality and accuracy?
Where should responsibility for data quality, definitions and ownership sit?
How do you design a platform that supports both operational decisions and financial reporting?
What happens when different teams have conflicting requirements?
How do data engineering, analytics engineering and machine learning teams work together to solve these problems?
Expect a practical discussion about the trade-offs, architectural choices and collaboration required to build trustworthy data systems at scale, with lessons relevant well beyond the energy industry.
Panellists:
Antonio Alvarez Caballero, Staff Data Engineer @ tem
I’ve been working in Data for 10 years, including academia, insurance, and now the energy industry! Currently ensuring the Data flows in tem’s are fast and scalable, and all parts of the Platform have the data they need in an accessible way.
Matt Bailey, Senior Machine Learning Engineer @ tem
Matt completed his doctorate in Theoretical & Computational Chemistry at the University of Oxford before moving in to green technology & energy. He’s worked as Head of Data and AI at an IoT startup controlling smart radiators, as AI and Data Lead optimising placement of behind-the-meter clean technology assets, and is now in the Rosso pricing team at tem helping businesses pay less and generators earn more.
Yijie Hsieh, Staff Analytics Engineer @ tem
Before joining tem, Yijie’s experience spanned marketing consultancy, a fast growing delivery startup, AI and pharmaceuticals, turning complex business challenges into practical data solutions. Then she moved into energy, where the data problems turned out to be the most fun yet. At tem she brings this experience to the Data Service team, helping build reliable data foundations that support better decision making across the business.
Yong Ren, Staff Data Analyst @ tem
Yong is a world traveller and a mathematician by nature. Having visited half the planet, he completed his PhD in maths at Politecnico di Milano, then moved into data analytics and machine learning, where he built the forex trading, quant and risk management at Wise. At tem he works on the core energy engine, using data to help manage portfolio risk on rainy days and deliver pricing that is transparent, accurate and competitive.
Hosted by:
David Loughlan, Founder @ Data Science Festival and Data Idols.
David has spent over a decade working across the data industry, bringing people together through events, recruitment and community building. He is passionate about creating spaces where data professionals can share ideas, have open conversations and learn from one another.
ABOUT TEM
tem is building new transactions infrastructure for a modern energy market, with the aim of making access to lower cost electricity simpler and more transparent.
Using AI and technology, tem is rethinking how businesses and generators transact energy. Today, its RED platform powers more than 6,000 UK customers, with a focus on creating a more transparent energy market.
Find out more about tem: tem.energy
TICKETING INFORMATION
Please note: Due to expected demand and limited capacity, this event will be run as a ballot. The exact venue location will be shared with successful applicants when tickets are issued.
Applying for the event does not guarantee a ticket. Applications will be reviewed on a rolling basis. If you have not received a ticket by Thursday 29th October, unfortunately your application has not been successful.
Please note that adding the event to your calendar does not confirm your place. Your place is only confirmed once you receive your ticket by email.
You can find out more about how our ballot works in the DSF Ticketing 101.
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